phd bioinformatics

Ph.D. in Computational Biology and Bioinformatics

General info.

• Faculty working with students: 60
• Students: 29
• Part time study available: No
• Application Terms: Fall
• Application Deadline: November 30

Monica Franklin Program Coordinator CBB Graduate Program Duke University Box 90090 Durham, NC 27708

Phone: 919-668-1049

Email: [email protected]

Website:  https://medschool.duke.edu/education/biomedical-phd-programs/computational-biology-and-bioinformatics-program

Program Description

The mission of the Graduate Program in Computational Biology and Bioinformatics (CBB) is to train predoctoral students to become leaders at the interdisciplinary intersection of quantitative and biomedical sciences. The program provides rigorous training in quantitative approaches from computer science, statistics, mathematics, physics, and engineering that enable its students to successfully address contemporary challenges across biology and medicine.  CBB trains students who have an interest and aptitude in both the computational and biological sciences. During their time in the program, students develop expertise in one or more quantitative areas, as well as in the specific biological area on which their research focuses.

Certificate in CBB

For students enrolled in other Ph.D. or masters programs of participating departments, the program also offers the opportunity to pursue a certificate in CBB. Students qualify for a CBB certificate by successfully completing two core courses plus an additional CBB course. Registration for the Computational Biology seminar every semester except the semester of graduation is also required.

• Computational Biology and Bioinformatics: PhD Admissions and Enrollment Statistics
• Computational Biology and Bioinformatics: PhD Completion Rate Statistics
• Computational Biology and Bioinformatics: PhD Time to Degree Statistics
• Computational Biology and Bioinformatics: PhD Career Outcomes Statistics

Application Information

Application Terms Available:  Fall

Application Deadline:  November 30

Graduate School Application Requirements See the Application Instructions page for important details about each Graduate School requirement.

• Transcripts: Unofficial transcripts required with application submission; official transcripts required upon admission
• Letters of Recommendation: 3 Required
• Statement of Purpose: Required
• Résumé: Required
• GRE Scores: GRE General (Optional)
• English Language Exam: TOEFL, IELTS, or Duolingo English Test required* for applicants whose first language is not English *test waiver may apply for some applicants
• GPA: Undergraduate GPA calculated on 4.0 scale required

Department-Specific Application Requirements (submitted through online application)

Writing Sample None required

Additional Components Optional Video Essay: How would a Duke PhD training experience help you achieve your academic and professional goals? Max video length 2 minutes; record externally and provide URL in application.

We strongly encourage you to review additional department-specific application guidance from the program to which you are applying: Departmental Application Guidance

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Integrated Biomedical Sciences (IBS)

Genomics & bioinformatics phd program.

The PhD in Genomics and Bioinformatics is designed to develop research scientists who apply principles and methods in genomics and bioinformatics to the study of human diseases.

The PhD in Genomics and Bioinformatics provides research training areas that reflect GW faculty expertise which includes DNA/RNA sequence analysis, algorithm development, cloud computing optimization, informatics platform development, biomarker discovery, microbiome, retrovirology (HIV/AIDS), autism spectrum disorders, muscular dystrophies, cancer genomics, glycoinformatics, microRNA processing, protein trafficking, and dysregulation of mitochondrial functions. Faculty are drawn largely from the GW School of Medicine and Health Sciences and Children’s Research Institute of Children’s National Health System.

Students have access to the state of the art technologies in genomics, proteomics, microscopy, bioinformatics, pre-clinical drug trials and multi-site clinical trial networks. Resources include the GW  Genomics Core , the GW  Biorepository  resource of biospecimens and clinical data, the  McCormick Genomic  and Proteomic Center, and  Colonial One  (the GW High Performance Computing Cluster), as well as cutting-edge core facilities for flow cytometry, imaging, and pathology.

PhD programs in the biomedical sciences are designed to meet key goals in contemporary graduate research education including 1) discipline-specific knowledge, 2) research skill development, 3) research communication skills, 4) research leadership, 5) research professionalism, and prepare graduates for a variety of science careers. To apply, please visit  IBS Admissions .

The PhD in Genomics & Bioinformatics begins with interdisciplinary coursework in molecular, cellular, and systems biology in the first semester. In the second and third semester students take a comprehensive introduction to the conceptual and experimental underpinnings of computational biology, statistics, genetics, and DNA sequencing. Career development coursework in scientific writing, oral communication, and research ethics; and laboratory rotations offered through GW’s Integrated Biomedical Sciences curriculum. Following required laboratory rotations, students work with their research advisor and the Graduate Program Directors to complete remaining Genomics & Bioinformatics degree requirements, including the dissertation.

Genomics and Bioinformatics Core:

• GENO 8231: Introduction to Genomics, Proteomics, and Bioinformatics
• GENO 8232: Computational Biology and Bioinformatics - Principals and Practices
• GENO 6223: Bioinformatics
• GENO 6237: Proteomics & Biomarkers
• GENO 8998: Advanced Reading and Research Seminar Course
• GENO 8999: Dissertation Research

Some Suggested Electives:

• BIOC 6240: Next Gen Sequencing.
• PUBH 6277: Public Health Genomics
• BMSC 8219: Writing the Grant-Style Qualifier

Seminars/Journal Clubs:

CTSI-CN Informatics Seminar Series

Complete grant-style qualifier examination, advance to candidacy

Graduate Program Directors:

Ljubica Caldovic, PhD Assistant Research Professor of Genomics and Precision Medicine Children's National Health System; GWU [email protected]

Raja Mazumder, PhD Professor of Biochemistry and Molecular Medicine GWU, Ross Hall 540 [email protected]

How to apply  to the IBS and Genomics and Bioinformatics PhD Program For IBS Application Questions contact Colleen Kennedy, IBS Program Manager

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Center for Computational Biology

Computational Biology PhD

The main objective of the Computational Biology PhD is to train the next generation of scientists who are both passionate about exploring the interface of computation and biology, and committed to functioning at a high level in both computational and biological fields.

The program emphasizes multidisciplinary competency, interdisciplinary collaboration, and transdisciplinary research, and offers an integrated and customizable curriculum that consists of two semesters of didactic course work tailored to each student’s background and interests, research rotations with faculty mentors spanning computational biology’s core disciplines, and dissertation research jointly supervised by computational and biological faculty mentors.

The Computational Biology Graduate Group facilitates student immersion into UC Berkeley’s vibrant computational biology research community. Currently, the Group includes over 46 faculty from across 14 departments of the College of Letters and Science, the College of Engineering, the College of Natural Resources, and the School of Public Health. Many of these faculty are available as potential dissertation research advisors for Computational Biology PhD students, with more available for participation on doctoral committees.

The First Year

The time to degree (normative time) of the Computational Biology PhD is five years. The first year of the program emphasizes gaining competency in computational biology, the biological sciences, and the computational sciences (broadly construed). Since student backgrounds will vary widely, each student will work with faculty and student advisory committees to develop a program of study tailored to their background and interests. Specifically, all first-year students must:

• Perform three rotations with Core faculty (one rotation with a non-Core faculty is acceptable with advance approval)
• Complete course work requirements (see below)
• Complete a course in the Responsible Conduct of Research
• Attend the computational biology seminar series
• Complete experimental training (see below)

Laboratory Rotations

Entering students are required to complete three laboratory rotations during their first year in the program to seek out a Dissertation Advisor under whose supervision dissertation research will be conducted. Students should rotate with at least one computational Core faculty member and one experimental Core faculty member. Click here to view rotation policy. 

Course Work & Additional Requirements

Students must complete the following coursework in the first three (up to four) semesters. Courses must be taken for a grade and a grade of B or higher is required for a course to count towards degree progress:

• Fall and Spring semester of CMPBIO 293, Doctoral Seminar in Computational Biology
• A Responsible Conduct of Research course, most likely through the Department of Molecular and Cell Biology.
• STAT 201A & STAT 201B : Intro to Probability and Statistics at an Advanced Level. Note: Students who are offered admission and are not prepared to complete STAT 201A and 201B will be required to complete STAT 134 or PH 142 first.
• CS61A : The Structure and Interpretation of Computer Programs. Note: students with the equivalent background can replace this requirement with a more advanced CS course of their choosing.
• 3 elective courses relevant to the field of Computational Biology , one of which must be at the graduate level (see below for details).
• Attend the computational biology invited speaker seminar series. A schedule is circulated to all students by email and is available on the Center website. Starting with the 2023 entering class, CCB PhD students must enroll in CMPBIO 275: Computational Biology Seminar , which provides credit for this seminar series.
• 1) completion of a laboratory course at Berkeley with a minimum grade of B,
• 2) completion of a rotation in an experimental lab (w/ an experimental project), with a positive evaluation from the PI,
• a biological sciences undergraduate major with at least two upper division laboratory-based courses,
• a semester or equivalent of supervised undergraduate experimental laboratory-based research at a university,
• or previous paid or volunteer/internship work in an industry-based experimental laboratory.

Students are expected to develop a course plan for their program requirements and to consult with the Head Graduate Advisor before the Spring semester of their first year for formal approval (signature required). The course plan will take into account the student’s undergraduate training areas and goals for PhD research areas.

Satisfactory completion of first year requirements will be evaluated at the end of the spring semester of the first year. If requirements are satisfied, students will formally choose a Dissertation advisor from among the core faculty with whom they rotated and begin dissertation research.

Waivers: Students may request waivers for the specific courses STAT 201A, STAT 201B, and CS61A. In all cases of waivers, the student must take alternative courses in related areas so as to have six additional courses, as described above. For waiving out of STAT 201A/B, students can demonstrate they have completed the equivalent by passing a proctored assessment exam on Campus. For waiving out CS61A, the Head Graduate Advisor will evaluate student’s previous coursework based on the previous course’s syllabus and other course materials to determine equivalency.

Electives: Of the three electives, students are required to choose one course in each of the two following cluster areas:

• Cluster A (Biological Science) : These courses are defined as those for which the learning goals are primarily related to biology. This includes courses covering topics in molecular biology, genetics, evolution, environmental science, experimental methods, and human health. This category may also cover courses whose focus is on learning how to use bioinformatic tools to understand experimental data.
• Cluster B (Computational Sciences): These courses are defined as those for which the learning goals involve computing, inference, or mathematical modeling, broadly defined. This includes courses on algorithms, computing languages or structures, mathematical or probabilistic concepts, and statistics. This category would include courses whose focus is on biological applications of such topics.

In the below link we give some relevant such courses, but students can take courses beyond this list; for courses not on this list, the Head Graduate Advisor will determine to which cluster a course can be credited. For classes that have significant overlap between these two clusters, the department which offers the course may influence the decision of the HGA as to whether the course should be assigned to cluster A or B.

See below for some suggested courses in these categories:

Suggested Coursework Options

Second Year & Beyond

At the beginning of the fall of the second year, students begin full-time dissertation research in earnest under the supervision of their Dissertation advisor. It is anticipated that it will take students three (up to four) semesters to complete the 6 course requirement. Students are required to continue to participate annually in the computational biology seminar series.

Qualifying Examination

Students are expected to take and pass an oral Qualifying Examination (QE) by the end of the spring semester (June 15th) of their second year of graduate study. Students must present a written dissertation proposal to the QE committee no fewer than four weeks prior to the oral QE. The write-up should follow the format of an NIH-style grant proposal (i.e., it should include an abstract, background and significance, specific aims to be addressed (~3), and a research plan for addressing the aims) and must thoroughly discuss plans for research to be conducted in the dissertation lab. Click here for more details on the guidelines and format for the QE. Click here to view the rules for the composition of the committee and the form for declaring your committee.

Advancement to Candidacy

After successfully completing the QE, students will Advance to Candidacy. At this time, students select the members of their dissertation committee and submit this committee for approval to the Graduate Division. Students should endeavor to include a member whose research represents a complementary yet distinct area from that of the dissertation advisor (ie, biological vs computational, experimental vs theoretical) and that will be integrated in the student’s dissertation research. Click here to view the rules for the composition of the committee and the form for declaring your committee.

Meetings with the Dissertation Committee

After Advancing to Candidacy, students are expected to meet with their Dissertation Committee at least once each year.

Teaching Requirements

Computational Biology PhD students are required to teach at least two semesters (starting with Fall 2019 class), but may teach more. The requirement can be modified if the student has funding that does not allow teaching. Starting with the Fall 2019 class: At least one of those courses should require that you teach a section. Berkeley Connect or CMPBIO 293 can count towards one of the required semesters.

The Dissertation

Dissertation projects will represent scholarly, independent and novel research that contributes new knowledge to Computational Biology by integrating knowledge and methodologies from both the biological and computational sciences. Students must submit their dissertation by the May Graduate Division filing deadline (see Graduate Division for date) of their fifth–and final–year.

Special Requirements

Students will be required to present their research either orally or via a poster at the annual retreat beginning in their second year.

• Financial Support

The Computational Biology Graduate Group provides a competitive stipend (the stipend for 2023-24 is $43,363) as well as full payment of fees and non-resident tuition (which includes health care). Students maintaining satisfactory academic progress are provided full funding for five to five and a half years. The program supports students in the first year, while the PI/mentor provides support from the second year on. A portion of this support is in the form of salary from teaching assistance as a Graduate Student Instructor (GSI) in allied departments, such as Molecular and Cell Biology, Integrative Biology, Plant and Microbial Biology, Mathematics, Statistics or Computer Science. Teaching is part of the training of the program and most students will not teach more than two semesters, unless by choice.

Due to cost constraints, the program admits few international students; the average is two per year. Those admitted are also given full financial support (as noted above): stipend, fees and tuition.

Students are also strongly encouraged to apply for extramural fellowships for the proposal writing experience. There are a number of extramural fellowships that Berkeley students apply for that current applicants may find appealing. Please note that the NSF now only allows two submissions – once as an undergrad and once in grad school. The NSF funds students with potential, as opposed to specific research projects, so do not be concerned that you don’t know your grad school plans yet – just put together a good proposal! Although we make admissions offers before the fellowships results are released, all eligible students should take advantage of both opportunities to apply, as it’s a great opportunity and a great addition to a CV.

• National Science Foundation Graduate Research Fellowship (app deadlines in Oct)
• Hertz Foundation Fellowship (app deadline Oct)
• National Defense Science and Engineering Graduate Fellowship (app deadline in mid-Fall)
• DOE Computational Science Graduate Fellowship (Krell Institute) (app deadline in Jan)

CCB no longer requires the GRE for admission (neither general, nor subject). The GRE will not be seen by the review committee, even if sent to Berkeley.

PLEASE NOTE: The application deadline is Wednesday, November 30 , 2023, 8:59 PST/11:59 EST

If you would like to learn more about our program, you can watch informational YouTube videos from the past two UC Berkeley Graduate Diversity Admissions Fairs: 2021 recording & 2020 recording .

We invite applications from students with distinguished academic records, strong foundations in the basic biological, physical and computational sciences, as well as significant computer programming and research experience. Admission for the Computational Biology PhD is for the fall semester only, and Computational Biology does not offer a Master’s degree.

We are happy to answer any questions you may have, but please be sure to read this entire page first, as many of your questions will be answered below or on the Tips tab.

IMPORTANT : Please note that it is not possible to select a specific PhD advisor until the end of the first year in the program, so contacting individual faculty about openings in their laboratories will not increase your chances of being accepted into the program. You will have an opportunity to discuss your interests with relevant faculty if you are invited to interview in February.

Undergraduate Preparation

Minimum requirements for admission to graduate study:

• A bachelor’s degree or recognized equivalent from an accredited institution.
• Minimum GPA of 3.0.
• Undergraduate preparation reflecting a balance of training in computational biology’s core disciplines (biology, computer science, statistics/mathematics), for example, a single interdisciplinary major, such as computational biology or bioinformatics; a major in a core discipline and a combination of interdisciplinary course work and research experiences; or a double major in core disciplines.
• Basic research experience and aptitude are key considerations for admission, so evidence of research experience and letters of recommendation from faculty mentors attesting to the applicant’s research experience are of particular interest.
• GRE – NOT required or used for review .
• TOEFL scores for international students (see below for details).

Application Requirements

ALL materials, including letters, are due November 30, 2023 (8:59 PST). More information is provided and required as part of the online application, so please create an account and review the application before emailing with questions (and please set up an account well before the deadline):

• A completed graduate application: The online application opens in early or mid-September and is located on the Graduate Division website . Paper applications are not accepted. Please create your account and review the application well ahead of the submit date , as it will take time to complete and requests information not listed here.
• A nonrefundable application fee: The fee must be paid using a major credit card and is not refundable. For US citizens and permanent residents, the fee is $135; US citizens and permanent residents may request a fee waiver as part of the online application. For all other students (international) the fee is $155 (no waivers, no exceptions). Graduate Admissions manages the fee, not the program, so please contact them with questions.
• Three letters of recommendation, minimum (up to five are accepted): Letters of recommendation must be submitted online as part of the Graduate Division’s application process. Letters are also due November 30, so please inform your recommenders of this deadline and give them sufficient advance notice. It is your responsibility to monitor the status of your letters of recommendation (sending prompts, as necessary) in the online system.
• Transcripts: Unofficial copies of all relevant transcripts, uploaded as part of the online application (see application for details). Scanned copies of official transcripts are strongly preferred, as transcripts must include applicant and institution name and degree goal and should be easy for the reviewers to read (print-outs from online personal schedules can be hard to read and transcripts without your name and the institution name cannot be used for review). Do not send via mail official transcripts to Grad Division or Computational Biology, they will be discarded.
• Essays: Follow links to view descriptions of what these essays should include ( Statement of Purpose [2-3 pages], Personal Statement [1-2 pages]). Also review Tips tab for formatting advice.
• (Highly recommended) Applicants should consider applying for extramural funding, such as NSF Fellowships. These are amazing opportunities and the application processes are great preparation for graduate studies. Please see Financial Support tab.
• Read and follow all of the “Application Tips” listed on the last tab. This ensures that everything goes smoothly and you make a good impression on the faculty reviewing your file.

The GRE general test is not required. GRE subject tests are not required. GRE scores will not be a determining factor for application review and admission, and will NOT be seen by the CCB admissions committee. While we do not encourage anyone to take the exam, in case you decide to apply to a different program at Berkeley that does require them: the UC Berkeley school code is 4833; department codes are unnecessary. As long as the scores are sent to UC Berkeley, they will be received by any program you apply to on campus.

TOEFL/IELTS

Adequate proficiency in English must be demonstrated by those applicants applying from countries where English is not the official language. There are two standardized tests you may take: the Test of English as a Foreign Language (TOEFL), and the International English Language Testing System (IELTS). TOEFL minimum passing scores are 90 for the  Internet-based test (IBT) , and 570 for the paper-based format (PBT) . The TOEFL may be waived if an international student has completed at least one year of full-time academic course work with grades of B or better while in residence at a U.S. university (transcript will be required). Please click here for more information .

Application Deadlines

The Application Deadline is 8:59 pm Pacific Standard Time, November 30, 2023 . The application will lock at 9pm PST, precisely. All materials must be received by the deadline. While rec letters can continue to be submitted and received after the deadline, the committee meets in early December and will review incomplete applications. TOEFL tests should be taken by or before the deadline, but self-reported scores are acceptable for review while the official scores are being processed. All submitted applications will be reviewed, even if materials are missing, but it may impact the evaluation of the application.

It is your responsibility to ensure and verify that your application materials are submitted in a timely manner. Please be sure to hit the submit button when you have completed the application and to monitor the status of your letters of recommendation (sending prompts, as necessary). Please include the statement of purpose and personal statement in the online application. While you can upload a CV, please DO NOT upload entire publications or papers. Please DO NOT send paper résumés, separate folders of information, or articles via mail. They will be discarded unread.

The Computational Biology Interview Visit dates will be: February 25-27, 2024

Top applicants who are being considered for admission will be invited to visit campus for interviews with faculty. Invitations will be made by early January. Students are expected to stay for the entire event, arriving in Berkeley by 5:30pm on the first day and leaving the evening of the final day. In the application, you must provide the names of between 7-10 faculty from the Computational Biology website with whom you are interested in conducting research or performing rotations. This helps route your application to our reviewers and facilitates the interview scheduling process. An invitation is not a guarantee of admission.

International students may be interviewed virtually, as flights are often prohibitively expensive.

Tips for the Application Process

Uploaded Documents: Be sure to put your name and type of essay on your essays ( Statement of Purpose [2-3 pages], Personal Statement [1-2 pages]) as a header or before the text, whether you use the text box or upload a PDF or Word doc. There is no minimum length on either essay, but 3 pages maximum is suggested. The Statement of Purpose should describe your research and educational background and aspirations. The Personal Statement can include personal achievements not necessarily related to research, barriers you’ve had to overcome, mentoring and volunteering activities, things that make you unique and demonstrate the qualities you will bring to the program.

Letters of Recommendation: should be from persons who have supervised your research or academic work and who can evaluate your intellectual ability, creativity, leadership potential and promise for productive scholarship. If lab supervision was provided by a postdoc or graduate student, the letter should carry the signature or support of the faculty member in charge of the research project. Note: the application can be submitted before all of the recommenders have completed their letters. It is your responsibility to keep track of your recommender’s progress through the online system. Be sure to send reminders if your recommenders do not submit their letters.

Extramural fellowships: it is to your benefit to apply for fellowships as they may facilitate entry into the lab of your choice, are a great addition to your CV and often provide higher stipends. Do not allow concerns about coming up with a research proposal before joining a lab prevent you from applying. The fellowships are looking for research potential and proposal writing skills and will not hold you to specific research projects once you have started graduate school.

Calculating GPA: Schools can differ in how they assign grades and calculate grade point averages, so it may be difficult for this office to offer advice. The best resource for calculating the GPA for your school is to check the back of the official transcripts where a guide is often provided or use an online tool. There are free online GPA conversion tools that can be found via an internet search.

Faculty Contact/Interests: Please be sure to list faculty that interest you as part of the online application. You are not required to contact any faculty in advance, nor will it assist with admission, but are welcome to if you wish to learn more about their research.

Submitting the application: To avoid the possibility of computer problems on either side, it is NOT advisable to wait until the last day to start and/or submit your application. It is not unusual for the application system to have difficulties during times of heavy traffic. However, there is no need to submit the application too early. No application will be reviewed before the deadline.

Visits: We only arrange one campus visit for recruitment purposes. If you are interested in visiting the campus and meeting with faculty before the application deadline, you are welcome to do so on your own time (we will be unable to assist).

Name: Please double check that you have entered your first and last names in the correct fields. This is our first impression of you as a candidate, so you do want to get your name correct! Be sure to put your name on any documents that you upload (Statement of Purpose, Personal Statement).

California Residency: You are not considered a resident if you hope to enter our program in the Fall, but have never lived in California before or are here on a visa. So, please do not mark “resident” on the application in anticipation of admission. You must have lived in California previously, and be a US citizen or Permanent Resident, to be a resident.

Faculty Leadership Head Graduate Advisor and Chair for the PhD & DE John Huelsenbeck ( [email protected] )

Associate Head Graduate Advisor for PhD & DE Liana Lareau ( [email protected] )

Equity Advisor Rasmus Nielsen ( [email protected] )

Director of CCB Elizabeth Purdom ( [email protected] )

Core PhD & DE Faculty ( link )

Staff support Student Services Advisor (GSAO): Kate Chase ( [email protected] )

PhD in Bioinformatics Data Science

A Ph.D. in Bioinformatics Data Science will train the next-generation of researchers and professionals who will play a key role in multi- and interdisciplinary teams, bridging life sciences and computational sciences. Students will receive training in experimental, computational and mathematical disciplines through their coursework and research. Students who complete this degree will be able to generate and analyze experimental data for biomedical research as well as develop physical or computational models of the molecular components that drive the behavior of the biological system.

Students must complete a minimum of 15 hours of coursework, plus 3 credit hours of seminar, 6 credit hours of research and 9 credit hours of doctoral dissertation. The Ph.D. requires a minimum of 33 credits. Students who are admitted directly after a B.S. degree will be required to complete up to 9 additional credits in order to fulfill the core curriculum in the following areas: Database Systems, Statistics, and Introduction to Discipline. In addition, if students entering the program with an M.S. degree are lacking equivalent prerequisites, they also will be required to complete courses in these three areas; however, these courses may fulfill the elective requirement in the Ph.D. program, if approved in the program of study.

Academic Load

PhD students holding research assistantships (or teaching) are considered full-time with 6 credit hours . Students without RA or TA  are considered full-time if enrolled in at least 9 credit hours or in sustaining credit. Those enrolled for fewer than 9 credit hours are considered part-time students. Generally, a maximum load is 12 graduate credit hours; however, additional credit hours may be taken with the approval of the student’s adviser and the Graduate College. A maximum course load in either summer or winter session is 7 credit hours. Permission must be obtained from the Graduate College to carry an overload in any session. 

Bioinformatics Data Science Courses

Students must take one course in each of the following areas (9 credits):

Prerequisites

Students must fulfill core curriculum in each of the following areas (3-9 credits):

Elective Courses

Students must take two courses to compliment their bioinformatics data science dissertation project (6 credits): 

See Elective courses

Students must take six semesters of seminar (three 0 credit; three 1 credit) and give a presentation during three semesters.

Other Requirements:

• Formation of Graduate Dissertation Committee
• Successful completion of Graduate Preliminary Exam
• Research on a significant scientific problem
• Successful completion of Ph.D. Candidacy Exam
• Successful completion of Dissertation Defense

Formation of Graduate Committee

The student needs to establish a Dissertation Committee within the first year of study. The Committee should consist of at least four faculty members, including the primary faculty advisor (serving as the Committee Chair), a secondary faculty advisor (in a complementary field to the primary advisor), a second faculty from the home department, and one CBCB affiliate faculty outside the Departments of the primary and secondary advisors or from outside the University. Students must complete the Dissertation Committee Formation form and submit to the Associate Director.

Students should convene their dissertation committee at least once every six months.

Preliminary Examination

The preliminary examination should be taken before the end of the fourth semester and will consist of an oral exam in subjects based on the Bioinformatics Data Science core.* In recognition of the importance of the core curriculum in providing a good test of the student’s knowledge, students must achieve a minimum 3.0 GPA in the core curriculum before taking the preliminary exam. Students will not be permitted to take the preliminary examination if the core grade requirements and cumulative GPA of 3.0 has not been achieved. The exam will be administered by the Preliminary Exam Committee , which will consist of one instructor from each of the three core courses. Each member of the Committee will provide a single grade (pass, conditional pass or fail) and the final grades will be submitted via the Results of Preliminary Exam Form :

• Pass . The student may proceed to the next stage of his/her degree training.
• Conditional pass . In the event that the examination committee feels that the student did not have an adequate background or understanding in one or more specific areas, the Preliminary Exam Committee will communicate the conditional pass to the student and must provide the student with specific requirements and guidelines for completing the conditional pass. The student must inform the Preliminary Exam Committee, the Graduate Program Director and Program Committee when these conditions have been completed. The Preliminary Exam Committee will then meet with the student to ensure all recommendations have been completed and whether a re-examination is necessary. If required, the re-examination will be done using the same format and prior to the beginning of the next academic semester. If the student still does not perform satisfactorily on this re-examination, he/she will then be recommended to the Graduate Affairs Committee for dismissal from the graduate program.
• Failure . This outcome would indicate that the Examination Committee considers the student incapable of completing degree training. The student’s academic progress will be reviewed by the Graduate Affairs Committee, who will make recommendations to the Program Director regarding the student’s enrollment status. The Program Director may recommend to the Graduate College that the student be dismissed from the Program immediately.

*Students who need to complete prerequisite courses may request a deadline extension for the preliminary and subsequently the candidacy examination. Requests must be submitted to the Graduate Program Committee prior to the start of the third semester.

Candidacy Exam

The candidacy examination must be completed by the end of the sixth semester of enrollment.* It requires a formal, detailed proposal be submitted to the Dissertation Committee and an oral defense of the student’s proposed research project. Upon the recommendation of the Dissertation Committee, the student may be admitted to candidacy for the Ph.D. degree. The stipulations for admission to doctoral candidacy are that the student has (i) completed one academic years of full-time graduate study in residence at the University of Delaware, (ii) completed all required courses with the exception of BINF865 and BINF969, (iii) passed the preliminary exams, (iv) demonstrated the ability to perform research, and (v) had a research project accepted by the Dissertation Committee. Within one week of the candidacy exam, complete and submit the Recommendation for Candidacy for Doctoral Degree form for details. A copy of the completed form should be given to the Associate Director.

*Students who need to complete prerequisite courses may request a deadline extension for the preliminary and subsequently the candidacy examination.  Requests must be submitted to the Graduate Program Committee prior to the start of the third semester.

Dissertation Exam

The dissertation examination of the Ph.D. program will involve the approval of the written dissertation and an oral defense of the candidate’s dissertation.  The written dissertation will be submitted to the Dissertation Committee and the CBCB office at least three weeks in advance of the oral defense date.  The oral defense date will be publicly announced at least two weeks prior to the scheduled date. The oral presentation will be open to the public and all members of the Bioinformatics Data Science program. The Dissertation Committee will approve the candidate’s dissertation. The student and the primary faculty advisor will be responsible for making all corrections to the dissertation document and for meeting all Graduate College deadlines.  Within one week of the dissertation defense, complete and submit the Certification of Doctoral Dissertation Defense Form. A copy of the completed form should be given to the Associate Director.

Graduate Programs

Computational biology.

The Center for Computational Molecular Biology (CCMB) offers Ph.D. degrees in Computational Biology to train the next generation of scientists to perform cutting edge research in the multidisciplinary field of Computational Biology.

During the course of their Ph.D. studies students will develop and apply novel computational, mathematical , and statistical techniques to problems in the life sciences. Students in this program must achieve mastery in three areas - computational science, molecular biology, and probability and statistical inference - through a common core of studies that spans and integrates these areas.

The Ph.D. program in Computational Biology draws on course offerings from the disciplines of the Center’s Core faculty members. These areas are Applied Mathematics, Computer Science, the Division of Biology and Medicine, the Center for Biomedical Informatics, and the School of Public Health. Our faculty and Director of Graduate Studies work with each student to develop the best plan of coursework and research rotations to meet the student’s goals in their research focus and satisfy the University’s requirements for graduation.

Applicants should state a preference for at least one of these areas in their personal statement or elsewhere in their application. In addition, students interested in the intersection of Applied Mathematics and Computational Biology are encouraged to apply directly to the  Applied Mathematics Ph.D. program , and also to contact relevant  CCMB faculty members .

Our Ph.D. program assumes the following prerequisites: mathematics through intermediate calculus, linear algebra and discrete mathematics, demonstrated programming skill, and at least one undergraduate course in chemistry and in molecular biology. Exceptional strengths in one area may compensate for limited background in other areas, but some proficiency across the disciplines must be evident for admission.

Additional Resources

CCMB computing resources include a set of multiprocessor computer clusters and data storage servers with 392 processors. The CCMB Cluster is the largest dedicated computing system on campus for computational biology and bioinformatics applications. See also answers to  frequently asked questions .

Application Information

Application requirements, gre subject:.

Not required

GRE General:

Personal statement:.

Applicants will be asked a series of short form questions regarding their interest in computational biology, their research experiences, and their goals for the future. 1) Describe the life experiences that inspired you to pursue a career in science. 2) Describe at least one research experience you have had that prepared you intellectually/ scientifically for a career in computational biology. 3) Explain at least one challenge you have overcome in life or research to pursue a scientific career and what you have learned from this experience. 4) Discuss any broader impacts that you have had on your community (e.g. family, educational institution, or broader community). 5) Why would you like to pursue your PhD in the Brown CCMB program? (Include at least two faculty members who you would like to work with at Brown and why.)

Dates/Deadlines

Application deadline, completion requirements.

Six graduate–level courses, two eight–week laboratory rotations, preliminary research presentation, dissertation, oral defense

Contact and Location

Center for computational molecular biology, location address, mailing address.

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Bioinformatics (Ph.D.)

Focus: preparing graduate students to reach the forefront of leadership in the field of bioinformatics and computational biology; and integrating research and education on the use of information technologies in biology and medicine.

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Bioinformatics

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An all-encompassing, highly interdisciplinary field

Program Overview

The University of Michigan  Bioinformatics Graduate Program builds a strong foundation for Master’s and PhD students through comprehensive course offering, research training and mentoring.

Students in our program take courses in advanced math, modeling, statistics, computer programming, machine learning, informatics, comprehensive courses in introductory biology, genomics, proteomics, clinical informatics, environmental health, and much more. They are encouraged to take advantage of the enormous research and teaching resources across U-M.

Our students have an abundance of research opportunities in many subject areas under the mentorship of our 130 affiliated faculty members of the Center for Computational Medicine and Bioinformatics ( CCMB ). These faculty are from U-M Medical School, College of Engineering, College of Literature, Arts and Sciences, School of Public Health, School of Nursing, and School of Information. 

In 2023, the Bioinformatics Graduate Program maintains a student body of 87 PhD students, and over 120 Master's students. They are mentored by the 44 DCMB faculty and the 130 CCMB faculty. Faculty members with biological and more quantitative expertise are both well represented.

The Bioinformatics Graduate Program was created in 1999 and is housed in the Department of Computational Medicine and Bioinformatics ( DCMB ). 

Apply through our PIBS application

Bioinformatics offers an extensive range of research opportunities, from applications for clinical medical problems and specific diseases to computational work on synthetic biological systems. There are very active groups in:

• Artificial Intelligence (AI) and machine learning
• Genomics, regulatory genomics and epigenomics
• Protein structure, proteomics, and alternative splicing
• Multi-“omics” integrative bioinformatics
• Systems biology and networks analysis
• Biomedical data science, translational bioinformatics and pharmacogenomics
• Methodological development in computational biology
• Applications to complex genetic diseases
• 4D Nucleome
• Single Cell Analysis
• Signal/Image Processing and Machine Learning

Bioinformatics has had NIH supported training grants since 2005. Our students are eligible for a wide range of other training grant support related to more specific areas of research, such as genomics or cancer proteomics.

Students are required to take courses in each of the following areas:

• Introductory Bioinformatics
• Computing & Informatics
• Probability & Statistics
• Molecular Biology
• Bioinformatics 602 (Journal Club) taken once in the first year.
• Bioinformatics 603 (Journal Club) taken once; students present papers for discussion
• Research Responsibility and Ethics course (PIBS 503)
• One Advanced Bioinformatics course offered or cross-listed by the Bioinformatics Graduate Program
• One additional Advanced Bioinformatics course in any program

Details about courses available in each of these areas can be found on the department website . Courses may be offered by Bioinformatics or other units.

Attendance at weekly seminars is also expected. Offered seminars include a weekly series of invited guest speakers, “Tools & Tech” presentations that highlight a tool or technology, either under development or in current use, and BISTRO, a lively seminar where students present their ongoing research.

Preliminary Examination

Students take a preliminary exam in their second year, usually at the end of the 3rd or 4th term. The preliminary exam should show both creativity and skill, and should not be identical to the student’s thesis work. The aims of the examination are two-fold. The first aim is to demonstrate that students have developed the ability to analyze a scientific problem and develop appropriate strategies to carry out a research plan. The second aim is to demonstrate that students have enough Bioinformatics knowledge needed to carry out their thesis research. Students sometimes develop their prelim proposals into a paper and/or a thesis chapter later.

Teaching Requirement

Teaching, in Bioinformatics or in other departments, is encouraged and expected for at least one term from most Bioinformatics students. Individual circumstances such as English language ability, interest, and funding situation of the mentor are considered.

Expected Length of Program

The expected time to PhD graduation is 5 to 6 years.

Approximately 8-15 new students join the PhD program each year. Each term, contact between faculty and students is encouraged through research events & social gatherings. Given the interdisciplinary nature of the program, students are encouraged to develop and pursue their own research interests. In an effort to support students’ academic growth, the department and other units (such as Rackham Graduate School) offer funding to assist students with conference participation or workshop attendance.

Approximately 50% of program alumni choose academia, while others with go into industry with many working at biotechnology companies. Aware of this, current students are provided opportunities to meet with guest seminar speakers or visitors from industry. In addition, outside internships are encouraged if related to a student’s research as they have proven to be valuable experiences.

The program supports student-led initiatives that are focused on building community such as student organized social activities, a pre-Thanksgiving dinner, and group run in the local marathon. Separately, Bioinformatics coordinates an annual off-site weekend retreat and an annual picnic.

DCMB welcomes and supports several  student organizations :

• The Bioinformatics Graduate Student Association (BGSA)
• The Bioinformatics Black Student Union (BBSU)
• The Data Analysis Networking Group (DANG!)
• DCMB Girls Who Code Club

Alumni from the Bioinformatics Graduate Program pursue successful careers in academia, biotechnology and biomedical research in industry and government. Most of them are employed immediately after graduation.

Learn more about the Department of Computational Medicine and Bioinformatics.

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Computational and Systems Biology PhD Program

Computational and systems biology.

The field of computational and systems biology represents a synthesis of ideas and approaches from the life sciences, physical sciences, computer science, and engineering. Recent advances in biology, including the human genome project and massively parallel approaches to probing biological samples, have created new opportunities to understand biological problems from a systems perspective. Systems modeling and design are well established in engineering disciplines but are newer in biology. Advances in computational and systems biology require multidisciplinary teams with skill in applying principles and tools from engineering and computer science to solve problems in biology and medicine. To provide education in this emerging field, the Computational and Systems Biology (CSB) program integrates MIT's world-renowned disciplines in biology, engineering, mathematics, and computer science. Graduates of the program are uniquely prepared to make novel discoveries, develop new methods, and establish new paradigms. They are also well-positioned to assume critical leadership roles in both academia and industry, where this field is becoming increasingly important.

Computational and systems biology, as practiced at MIT, is organized around "the 3 Ds" of description, distillation, and design. In many research programs, systematic data collection is used to create detailed molecular- or cellular-level descriptions of a system in one or more defined states. Given the complexity of biological systems and the number of interacting components and parameters, system modeling is often conducted with the aim of distilling the essential or most important subsystems, components, and parameters, and of obtaining simplified models that retain the ability to accurately predict system behavior under a wide range of conditions. Distillation of the system can increase the interpretability of the models in relation to evolutionary and engineering principles such as robustness, modularity, and evolvability. The resulting models may also serve to facilitate rational design of perturbations to test understanding of the system or to change system behavior (e.g., for therapeutic intervention), as well as efforts to design related systems or systems composed of similar biological components.

CSB Faculty and Research

More than 70 faculty members at the Institute participate in MIT's Computational and Systems Biology Initiative (CSBi). These investigators span nearly all departments in the School of Science and the School of Engineering, providing CSB students the opportunity to pursue thesis research in a wide variety of different laboratories. It is also possible for students to arrange collaborative thesis projects with joint supervision by faculty members with different areas of expertise. Areas of active research include computational biology and bioinformatics, gene and protein networks, regulatory genomics, molecular biophysics, instrumentation engineering, cell and tissue engineering, predictive toxicology and metabolic engineering, imaging and image informatics, nanobiology and microsystems, biological design and synthetic biology, neurosystems biology, and cancer biology.

The CSB PhD Program

The CSB PhD program is an Institute-wide program that has been jointly developed by the Departments of Biology, Biological Engineering, and Electrical Engineering and Computer Science. The program integrates biology, engineering, and computation to address complex problems in biological systems, and CSB PhD students have the opportunity to work with CSBi faculty from across the Institute. The curriculum has a strong emphasis on foundational material to encourage students to become creators of future tools and technologies, rather than merely practitioners of current approaches. Applicants must have an undergraduate degree in biology (or a related field), bioinformatics, chemistry, computer science, mathematics, statistics, physics, or an engineering discipline, with dual-emphasis degrees encouraged.

CSB Graduate Education

All students pursue a core curriculum that includes classes in biology and computational biology, along with a class in computational and systems biology based on the scientific literature. Advanced electives in science and engineering enhance both the breadth and depth of each student's education. During their first year, in addition to coursework, students carry out rotations in multiple research groups to gain a broader exposure to work at the frontier of this field, and to identify a suitable laboratory in which to conduct thesis research. CSB students also serve as teaching assistants during one semester in the second year to further develop their teaching and communication skills and facilitate their interactions across disciplines. Students also participate in training in the responsible conduct of research to prepare them for the complexities and demands of modern scientific research. The total length of the program, including classwork, qualifying examinations, thesis research, and preparation of the thesis is roughly five years.

The CSB curriculum has two components. The first is a core that provides foundational knowledge of both biology and computational biology. The second is a customized program of electives that is selected by each student in consultation with members of the CSB graduate committee. The goal is to allow students broad latitude in defining their individual area of interest, while at the same time providing oversight and guidance to ensure that training is rigorous and thorough.

Core Curriculum

The core curriculum consists of three classroom subjects plus a set of three research rotations in different research groups. The classroom subjects fall into three areas described below.

Modern Biology (One Subject): A term of modern biology at MIT strengthens the biology base of all students in the program. Subjects in biochemistry, genetics, cell biology, molecular biology, or neurobiology fulfill this requirement. The particular course taken by each student will depend on their background and will be determined in consultation with graduate committee members.

Computational Biology (One Subject): A term of computational biology provides students with a background in the application of computation to biology, including analysis and modeling of sequence, structural, and systems data. This requirement can be fulfilled by 7.91[J] / 20.490[J] Foundations of Computational and Systems Biology.

Topics in Computational and Systems Biology (One Subject): All first-year students in the program participate in / 7.89[J] Topics in Computational and Systems Biology, an exploration of problems and approaches in the field of computational and systems biology through in-depth discussion and critical analysis of selected primary research papers. This subject is restricted to first-year PhD students in CSB or related fields in order to build a strong community among the class. It is the only subject in the program with such a limitation.

Research Group Rotations (Three Rotations): To assist students with lab selection and provide a range of research activities in computational and systems biology, students participate in three research rotations of one to two months' duration during their first year. Students are encouraged to gain experience in experimental and computational approaches taken across different disciplines at MIT.

Advanced Electives

The requirement of four advanced electives is designed to develop both breadth and depth. The electives add to the base of the diversified core and contribute strength in areas related to student interest and research direction. To develop depth, two of the four advanced electives must be in the same research area or department. To develop breadth, at least one of the electives must be in engineering and at least one in science. Each student designs a program of advanced electives that satisfies the distribution and area requirements in close consultation with members of the graduate committee.

Additional Subjects: As is typical for students in other doctoral programs at MIT, CSB PhD students may take classes beyond the required diversified core and advanced electives described above. These additional subjects can be used to add breadth or depth to the proposed curriculum, and might be useful to explore advanced topics relevant to the student's thesis research in later years. The CSB Graduate Committee works with each graduate student to develop a path through the curriculum appropriate for his or her background and research interests.

Training in the Responsible Conduct of Research: Throughout the program, students will be expected to attend workshops and other activities that provide training in the ethical conduct of research. This is particularly important in interdisciplinary fields such as computational and systems biology, where different disciplines often have very different philosophies and conventions. By the end of the fourth year, students will have had about 16 hours of training in the responsible conduct of research.

Qualifying Exams: In addition to coursework and a research thesis, each student must pass a written and an oral qualifying examination at the end of the second year or the beginning of the third year. The written examination involves preparing a research proposal based on the student's thesis research, and presenting the proposal to the examination committee. This process provides a strong foundation for the thesis research, incorporating new research ideas and refinement of the scope of the research project. The oral examination is based on the coursework taken and on related published literature. The qualifying exams are designed to develop and demonstrate depth in a selected area (the area of the thesis research) as well as breadth of knowledge across the field of computational and systems biology.

Thesis Research: Research will be performed under the supervision of a CSBi faculty member, culminating in the submission of a written thesis and its oral defense before the community and thesis defense committee. By the second year, a student will have formed a thesis advisory committee that they will meet with on an annual basis.

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Education & Training

Phd in bioinformatics and systems biology with emphasis in biomedical informatics.

The PhD curriculum for our trainees consists of formal instruction to provide the intellectual framework for conducting research.

Biomedical Informatics Core

• Informatics in Clinical Environments (MED 265): 1 Students are introduced to the basics of healthcare systems and clinical information needs through direct observation and classroom discussion. Students are introduced to medical language, disease processes, and health care practices to provide context prior to direct patient observation at primary, specialty, emergency, and inpatient sites in conjunction with clinical faculty affiliated with the training program. Students examine how clinicians use history-taking, physical examination and diagnostic testing to establish diagnoses and prognoses. Medical decision-making is introduced in the context of available informatics tools and clinical documentation and communication processes. Post-observation classroom discussions encourage students to think critically of the processes they observed and formulate hypotheses about how informatics solutions can modify the processes.
• Modeling Clinical Data and Knowledge for Computation (MED 267): This course describes existing methods for representing and communicating biomedical knowledge. The course describes existing health care standards and modeling principles required for implementing data standards, including biomedical ontologies, standardized terminologies, and knowledge resources.

1  Students with a clinical background will replace MED 265 with an additional course: Bioinformatics Applications to Human Disease (MED 263).

Bioinformatics Core

The core courses provide foundations in the biological basis of human health and disease and the statistical discovery of medical knowledge from biological experimentation. These classes are taken during the first year.

• Bioinformatics II (BENG 202) :  Introduction to methods for sequence analysis, applications to genome and proteome sequences, and protein structure and sequence-structure analysis.
• Principles of Biomedical Informatics (MED 264) : students are introduced to the fundamental principles of BMI and to the problems that define modern healthcare. The extent to which BMI can address healthcare problems is explored. Topics covered include structuring of data, computing with phenotypes, integration of molecular, image and other non-traditional data types into electronic medical records, clinical decision support systems, biomedical ontologies, data and communication standards, data aggregation, and knowledge discovery.
• Bioinformatics IV (MATH 283):  Analysis of modern genomic data, sequence analysis, gene expression/functional genomics analysis, and gene mapping/applied population genetics. The course focuses on statistical modeling and inference.

For the fourth core class, choose one of the following. In the event that a student completes two or more of these with suitable grades, one will count as core and the other(s) as electives.

• Algorithms in Computational Biology (CSE 280A): (Formerly CSE 206B) The course focuses on algorithmic aspects of modern bioinformatics and covers the following topics: computational gene hunting, sequencing, DNA arrays, sequence comparison, pattern discovery in DNA, genome rearrangements, molecular evolution, computational proteomics, and others. Prerequisites: CSE202 preferred or consent of instructor. 
• Algorithms for Biological Data Analysis (ECE 208): This course introduces a series of general algorithmic techniques but uses computational evolutionary biology as the context. The course motivates each algorithmic concept using a specific biological application related to evolution and focuses the discussion on specific types of (big) data available in modern biological studies. Note: The instructor and the BISB program are in the process of getting approval from the Graduate Council to introduce this as a course and to allow it as a core option. While we await approval, the course is offered under a temporary course number, ECE 286, by Prof. Siavash Mirarab, with the title "Algorithms for Biological Data Analysis." The course code ECE 286 may be used by other special topics courses as well, so be sure to enroll in the correct one.
• Genomics, Proteomics, and Network Biology (Bioinformatics III, BENG 203/CSE283): This is core in the BISB track. In the BMI track, it may be taken as the 4th core class or as an elective. Anotating genomes, characterizing functional genes, profiling, reconstructioning pathways.  Prerequisites: Pharm 201, BENG 202/CSE282, or consent of instructor. 

All students in years 1 and 2 must take both seminars in fall, winter, and spring quarters.

• Current Trends in Biomedical Informatics (MED 262): Weekly talks by researchers introduce students to current research topics within BMI. Speakers are drawn from academia, health care organizations, industry, and government.
• Bioinformatics Student Research Talks (BNFO 283) : Weekly presentations by Bioinformatics and Systems Biology students about Research Projects that are proposed or completed. Faculty mentors are present to contribute critiques and suggestions.

All students must take one of the two ethics courses by the end of second year. However, funding sources may require that it be taken first year, so we recommend taking it the first year.

• Scientific Ethics (SOMI 226): see below description
• Ethics in Scientific Research (BIOM 219): Overview of ethical issues in scientific research, conflicts of interest; national, statewide and campus issues and requirement; ethical issues in publications; authorship; retention of research records; tracing of research records; attribution; plagiarism; copyright considerations; primary, archival and meeting summary publications; ethical procedures and policies; NIH, NSF, California and UC San Diego; case studies and precedents in ethics.

Research and Teaching

During the academic year, all students must be enrolled in the appropriate research course for their level. Students typically do three rotations in year 1 (BNFO 298) and then do research units (BNFO 299) with their thesis advisor in years 2 and later. BNFO 299 units may be varied to meet the full-time enrollment requirement of 12 units per quarter in fall, winter, and spring.

• Teaching Assistantship (TA) (BNFO 500) :  Students will be a TA for two quarters during second or third year. To prepare for this teaching, students will receive training through the Center for Teaching Development at UCSD.
• Research Rotation (BNFO 298) : Taken each quarter during first year to help determine the thesis adviser.
• Graduate Research (BNFO 299): Independent work by graduate students engaged in research and writing theses. S/U grades only. May be taken for credit fifteen times.

Students must take 16 units of elective courses, including 8 units from the BMI series and 4 units from the CS series. The final 4 units can be taken from any series. The two BMI core courses MED 265 (or MED 263 for students with a clinical background) and MED 267 count as electives. Please check this  BISB curriculum page  for the list of all approved electives and elective series. 

Formal Progress to Degree

There are three formal evaluations that students must complete prior to being awarded a PhD degree: 

• Qualifying Examination:  This examination must be passed prior to the end of the student’s second year of study. The written portion of the exam consists of the student preparing an NIH or NSF-style research proposal. This proposal is then defended in an oral examination. Once the student passes the oral portion of the exam, the student is deemed to be qualified for advancing into PhD thesis research.
• Advancement to PhD Candidacy:  Upon completion of formal course requirements, each student is required to take a written and oral qualifying examination that admits the student to the candidacy of the PhD Program. The exam is administered by the dissertation committee, which consists of five faculty members.
• Final Examination:  All students defend their thesis in a final oral examination.

How to Apply

Application for admission to graduate studies is made directly through the Bioinformatics and Systems Biology website.

To be considered for the NLM fellowship, in addition to submitting your application and documentation to the degree program of your choice, please send the following to dbmi fellowship at ucsd dot edu:

• Personal Statement- explaining why you are a good candidate for the fellowship and what you hope to accomplish as an NLM trainee, the specific kind of research and topics you are interested in studying and what your goals are after completing the fellowship.
• A current and up to date CV; and
• In the body of your email please indicate which degree program you are applying to.

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UCLA Graduate Programs

Graduate Program: Bioinformatics

UCLA's Graduate Program in Bioinformatics offers the following degree(s):

Doctor of Philosophy (Ph.D.)

Master of Science (M.S.)

With questions not answered here or on the program’s site (above), please contact the program directly.

Bioinformatics Graduate Program at UCLA 172 Boyer Hall 611 Charles E. Young Drive Box 951570 Los Angeles, CA 90095-1570

Visit the Bioinformatics’s faculty roster

COURSE DESCRIPTIONS

Visit the registrar's site for the Bioinformatics’s course descriptions

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The Graduate Program in Bioinformatics

Read this wonderful article from Bostonia on BU Bioinformatics alum, Dr. Rhonda Harrison, who was the first woman and first Black person to earn a PhD in Bioinformatics.

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• Doing a PhD in Bioinformatics

What Does a PhD in Bioinformatics Focus On?

Bioinformatics is the application of computational methods in the representation and analysis of biological data. The field of research has become increasingly popular as technological advancements in computing and greater understanding of genome sequencing and other biological metrics has revealed a wealth of potential applications.

Due to overlapping research areas, a PhD in Bioinformatics may see you work with other departments within your University, including biological science, computer science, data science , mathematics , statistics , and physics.

Some of the core areas a PhD in Bioinformatics may focus on are:

• How to store, process, analyse and interpret complex digital data.
• The use of bioinformatics to diagnose and treat diseases, for example, investigating antimicrobial resistance.
• The use of bioinformatics to better understand biological function, for example, investigation protein folding and transcriptional networks.
• Applications in molecular structure and interaction.
• Applications in agriculture, for example developing sustainable methods for food production and improving food security.

A PhD in Bioinformatics can also allow you to use a university’s facilities, industry links, and international research groups to broaden our understanding of the field and find new applications of knowledge.

Some PhDs have elective courses which are designed to further a student’s specific area of expertise in the field of bioinformatics. Courses in molecular biology, microbiology , and cell and molecular evolution are popular electives within this field of study. Students can also choose to take an elective in computer science, statistics, data science or business, depending on the focus of their research project and future career plans.

Entry Requirements for A PhD in Bioinformatics

Candidates applying for a Bioinformatics PhD degree will usually need to hold an upper second class honours bachelor’s degree or overseas equivalent. This does not need to be a bioinformatics degree, but must be a graduate degree in a related subject area, for example biology or computer science.

International graduate students are normally asked to provide evidence of their English Language ability. A number of examinations (online and in-person) are available, and the university will specify which transcripts (and minimum scores) they require. The most commonly requested certifications for prospective applicants are the IELTS and the TOEFL.

Browse PhDs in Bioinformatics

A next-generation genetic technology to identify biotechnologically-valuable enzymes and transporters, ubiquitin-dependent signalling pathways in ageing, exploring the impact of microplastic-bacterial complexes on animal health and the gut microbiome, energy dissipation in human soft tissue during impacts, micro-manufacturing of surface textures for enhanced electrosurgery, how long does it take to get a phd in bioinformatics.

A standard PhD in Bioinformatics requires 3 to 4 years of full-time study, whilst a part-time Bioinformatics course typically takes 6 to 7 years to complete. A Bioinformatics MPhil typically takes 1 to 2 years of full-time study.

Some Bioinformatics courses include additional training modules, outside the core courses, which typically cover transferable skills and prepare you for aspects of research life. These training courses can cover specialist subjects such as computational biology, machine learning biostatistics, and biomedical engineering.

Costs and Funding

The annual tuition fee for a full-time Bioinformatics PhD programme in the UK is typically around £5,500 – £6,000 for home (UK) students. Full-time tuition fees for overseas students are typically around £24,000 – £28,000 per academic year. Tuition fees for UK students studying part-time are normally around £3,000 per annum. The typical cost of a part-time PhD project for overseas students is around £13,000 per year. EU Students starting their programme in the academic year 2021/22 will pay international tuition fees.

Funding for Bioinformatics PhDs is available through UK Research Councils, charities and industry. Most universities also advertise other funding opportunities for students including internal awards and postgraduate scholarships which cover the tuition fees for Bioinformatics PhD programmes. You can also search our database of funded PhD opportunities .

PhD in Bioinformatics Career Paths and Jobs

Due to the various applications and large scope of bioinformatics, there are a number of potential career paths for bioinformatics graduates.

Many PhD in Bioinformatics careers focus on academia. A PhD in bioinformatics salary of those who become professors or lectures can be read in more detail here . You can also join interdisciplinary research groups including related subject areas such as biomedical science, computational biology, molecular biology and systems biology .

In clinical roles, you can use bioinformatics tools to make advances in oncology, genomics and genetic testing, IVF cell scanning and more. This is ideal for those who enjoy the practical application of essential bioinformatics concepts to real world biological problems.

Bioinformatics jobs require specialist knowledge, which PhD students possess. Because of this, the typical bioinformatics scientist salary in the UK is generous, with sufficient experience exceeding £40,000.

Another bioinformatics job is a software developer. Here you are responsible for developing new algorithms and managing data analytics. The salary for bioinformatics doctorates working as software developers can exceed £70,000 at the senior level. This is ideal for those whose PhD project was data oriented, for example those involving statistical genetics, computational methods or artificial intelligence .

Another popular career destination for doctoral students is within agriculture. Those with a doctoral degree in this field can use their knowledge in plant genetics to improve crop yield and reliability. The wheat industry is an example of a common employer in this field.

Other bioinformatics jobs include working as a laboratory technician . As a PhD student you will likely have laboratory experience. These professionals can work in drug development, biopharmaceutical plants, and clinical laboratories.

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PhD in Biomedical Informatics

The PhD program in Biomedical Informatics is part of the   Coordinated Doctoral Programs in Biomedical Sciences . Students are trained to employ a scientific approach to information in health care and biomedicine. Students may only enroll full-time, as required by the Graduate School of Arts and Sciences (GSAS). The first two years are generally devoted to coursework and research. Subsequent years focus on independent research that culminates in a dissertation. 

Our PhD students come from top universities in the country and around the world. The group is dynamic and engaged, breaking new ground in informatics research as evidenced by their strong publication records. Our students are highly collaborative, frequently assisting on each other’s projects, sharing ideas, and supporting each other.

The program consists of core courses that are required of every student and provide a foundation in general biomedical informatics methods, techniques and theories, while electives enable students to apply these methods to one or more areas of specialization in bioinformatics, translational, clinical informatics, clinical research informatics, or public health informatics. In addition, students conduct research, assist in teaching (if PhD or postdoctoral trainees), and attend colloquia.

Degree Requirements

​ Courses : A minimum of 60 points of Columbia University graduate (4000 level or above) coursework, 6 residence units, consisting of:

• Research each term (BINF G6001, BINF G9001)
• 5 core classes
• 2 domain (specialization) courses
• 3 educational objectives courses
• 1 ethics course (spring term of first year)
• serving as a TA for 2 classes (or 1 class for MD-PhD students)
• 1 research seminar each term

Students must complete a minimum of 60 points of Columbia University instruction at the 4000 level or higher, address any admission deficiencies, and complete DBMI degree requirements. In years three and above, research is the primary focus of the student’s degree program, and the number of hours spent on research increases with each year in the program. Students enroll in BINF G6001 fall and spring terms as follows: a) 6 points each term year one, 9 points each term year two, 12 points each term years three and above. Students enroll in BINF G9001 in lieu of BINF G6001 the term following successful completion of the Oral II/Depth Exam. In their final term of enrollment, students will also register for BINF G9999 Doctoral Dissertation for 0 points. Students should pursue five goals when conducting research, and the grade earned in the required research classes (BINF G6001, BINF G9001) will reflect how well the student has achieved these goals: 1) understand the nature of informatics research 2) master intellectual and technical skills necessary for research 3) read and apply the scientific literature, 4) develop skill in scientific writing 5) demonstrate a responsible working attitude.

Ethics:  PhD students are required to enroll in CMBS G4010 Responsible Conduct of Research and Related Policy Issues in their second term in the program.

Teaching Assistantship: Students are required to serve as teaching assistants (TAs) for two courses in the department. In order to earn credit for TA responsibilities, students need to register for two points of BINF G8010 MPhil Teaching Experience each semester in which they serve as a TA. Students and faculty are solicited in spring term for their top 3 preferences. The Training Committee assigns TAs based on faculty and student preferences and departmental needs. The assignments will be communicated to students and faculty by the Graduate Program Manager. PhD students are required to TA two courses. Two-year postdoctoral research fellows TA one course; three-year postdoctoral research fellows TA two courses. MD-PhD students TA one course.

Seminar: PhD students are required to enroll in the weekly DBMI seminar. PhD students in the bio track are required to enroll in the DBMI seminar in their first year in the program, and may substitute the Systems Biology seminar in year 2 and beyond.

Residence Units: PhD students accrue 6 residence units for the degree. They are enrolled in the appropriate residence unit category by the GSAS Office of Graduate Affairs every fall and spring term.

Milestones: There are four milestones for PhD students:

• Breadth Exam
• Dissertation Proposal
• Dissertation Defense

Academic progress is tracked each semester by the students and their academic advisors (see Forms page for semester forms)

Research Rotations With the exception of MD-PhD students whose research rotation occurs between years 1 and 2 of medical school, all PhD students rotate in two different research labs their first year. Research rotations begin by the end of the change of program (add/drop) period of each term. The second research rotation begins the first day of classes of spring term. Projects should be completed prior to the start of the subsequent term. The permanent research advisor is chosen by May 15 of the first year. The Training Committee grants final approval of research rotations and permanent research advisor selections. Work with the permanent research advisor commences the next business day following the last day of final exams. A third summer rotation is possible with the Committee’s permission.

For first year students rotating with different research advisors, the Fall term dates for the first research rotation of BINF G6001 are the second week of September through the MLK, Jr. Holiday. For Spring term, the dates are the day following the MLK, Jr. holiday (the first day of classes) until the last date of final examinations ( see the online University academic calendar ) .  Work with the permanent research advisor commences the next business day following the last day of final exams.

Rotation Research Advisor Prior to the start of the Fall and Spring semesters, first-year PhD students should contact the faculty with whom they are considering doing a rotation to request an appointment. Selection of a research rotation advisor must be official by the end of the drop/add period of each semester. Students should discuss expectations for the rotation as well as a finite project to be completed by the end of the term of the rotation with the research advisor. This prevents projects continuing into the next semester which impacts the output of the new research rotation. The project should not depend on applying for a new IRB as this will delay the research into the subsequent semester, which is ill-advised. The Training Committee grants final approval of research advisors.

Register for research credit and a letter grade (6 points in fall and spring of first year, 9 points in fall and spring of second year, 12 points in fall and spring all subsequent years).

Publications PhD students and postdoctoral fellows are expected to make submissions to publications and conferences each year. The frequency and appropriateness of these submissions are decided by the research advisor. No student or fellow may submit work to any publication or conference without the expressed prior approval of their research advisor. Prior to submission, the research advisor must review final versions of all papers and abstracts submitted to journals, conferences, books or other publications. This policy applies to all publications, regardless of authorship, that deal with work that has been done at DBMI, Columbia University, or any affiliated institution(s).

Funding More information about funding sources and fellowships is available in the Student Funding page .​

Admissions Requirements for Bioinformatics Ph.D. Program

Thank you for your interest in the Bioinformatics & Systems Biology Graduate Program at UC San Diego. This is a full-time PhD program. Students are admitted as full-time PhD students. We do not admit "Masters-only" students.

Admission is in accordance with the general requirements of the graduate division. Candidates should have a quantitative or computational track record and a passion for working on challenging research questions in interdisciplinary areas across biology, medicine, computational sciences and engineering. The most competitive applicants have an undergraduate degree majoring in any of the disciplines in the biological sciences, the physical sciences, computer science, or mathematics, and a strong background in the complementary disciplines.

Applicants must apply online at  https://gradapply.ucsd.edu  and must submit a completed UC San Diego Application for Graduate Admission (use major code BF76). Applicants indicate their priority interest in the Bioinformatics and Systems Biology Track or the Biomedical Informatics Track;  please see this page for further information on each track.

Fall 2024 Application Deadline: Wednesday November 29, 2023.  Applications with fee waiver requests are due a week earlier.

Please expand the sections below for more information.

Online application

UCSD offers an online application for the Bioinformatics & Systems Biology Graduate Program. Hard copy applications are not available. Apply online at  https://gradapply.ucsd.edu  (use major code  BF76 ). The online application system opens mid-September.

Students are only admitted during the fall quarter.  The Fall 2024 Application Deadline is Wednesday November 29, 2023.  Applications with fee waiver requests are due a week earlier.

Please send test scores to

• Institution Code  4836  (UC San Diego)
• GRE Department Code  0224  (Bioinformatics)
• TOEFL Department Code  69  (Engineering, other)

For further admission information, students should see the  Admissions FAQ  or contact the Bioinformatics and Systems Biology graduate coordinator via e-mail at  [email protected]  or at (858) 822-0831.

To check the status of application materials that you have submitted, please  email the Graduate Coordinator  with your Name, Date of Birth, and Email Address used on your application. An email containing the status of your application will ONLY provide information verifying receipt of supplementary materials (transcripts, letters, etc.). Official notification of admission is distributed directly from the campus-wide Graduate Education office (GEPA).

Application materials and admission review

Admission review will be on a competitive basis based on the combined elements of the application, which include:

• Undergraduate / graduate transcripts  (unofficial transcripts suffice for the application; English translation must accompany transcripts written in other languages)
• Graduate Record Examination (GRE) General Test scores   (optional for Fall 2024 admissions cycle; see notes below)
• TOEFL scores  (required ONLY for international applicants whose native language is not English and whose undergraduate education was conducted in a language other than English)
• Statement of Purpose
• 3 Letters of Reference  from individuals who can attest to the academic competence and to the depth of the candidate’s interest in pursuing graduate study
• Curriculum Vitae
• Short answers to questions
• Additional Educational Experience ( optional ; categories include: Community Involvement, Leadership, Overcoming Adversity, Personal or Professional Ethics, Research, Social Justice Experience, Other).  These responses will also allow you to be considered for Graduate Division Fellowships.

All applications will be screened and evaluated by the Admissions Committee with input from program faculty. Important factors in the holistic review of the application include:

• Nature and quality of the undergraduate program
• Undergraduate track record and other scholastic achievements
• Preparation in quantitative and biomedical subject areas  (see for example)
• Proficiency with computation
• Previous research experience, if any
• Publications, if any
• Evidence of qualities needed for success in graduate programs such as motivation, initiative, independence, commitment, and career plans
• Interest in the program faculty
• Additional educational experience

Strong applications will demonstrate aptitude for critical thinking, quantitative reasoning, computational and/or research experience, community engagement, motivation, initiative and perseverance.

Notes for applications for Fall 2024 admissions

• Due to the impact of COVID-19, GRE General Test scores are optional for applications for Fall 2024 admissions.  We encourage applicants to use GRE scores to the best effect for their applications. For our program, GRE General Test scores are considered as evidence of quantitative and analytical reasoning abilities. We encourage reporting of scores that provide support for this. Further context can be provided in the Statement of Purpose.
• The application form for Fall 2024 admissions includes an optional COVID-19 Personal Statement section to address any impacts due to COVID-19.
• For applicants who are required to take the TOEFL iBT or IELTS, we have added additional options for applications for Fall 2024 admissions: the TOEFL iBT Special Home Edition; and the IELTS Indicator. See more info  here.

Applicant Outreach Sessions

Are you an undergraduate who (i) is interested in learning about research as a career, or (ii) already has a passion for research and wants to learn more about the PhD path? If so, students of the UCSD Bioinformatics and Systems Biology PhD program are putting on a student-led info session aiming to:

• Encourage undergraduate students to consider PhD programs as one of the fastest paths to leadership positions in academia or industry. We go over common requirements for (i) most STEM PhD programs, (ii) typical requirements of Bioinformatics PhD programs, and (iii) the specific requirements of the UCSD Bioinformatics PhD program.  
• Raise awareness of the benefits of the PhD path. We want students to know that (i) you are paid a living wage as a PhD student, (ii) you typically don’t pay tuition for most Bioinformatics PhD programs, (iii) what the day-to-day life of a PhD researcher is like.  
• Provide mentorship (limited availability) to undergraduates who are interested in applying to the UCSD Bioinformatics PhD program. This includes either a one-on-one meeting with a current UCSD Bioinformatics and Systems Biology PhD student and/or a review of application materials. If the student doesn't have the experiences or the classwork yet, we will advise them how to gain those experiences so they can have a competitive application next year.

How do I sign up?

• The live info session will be held on Wednesday, November 1, 2023 at 3pm PDT.
• One-on-one appointments and application advising will be available through mid-November 2023.
• sign up for the info session;
• sign up for a mentoring session;
• request an application review;
• or submit a question about the application process to current students.

Past info sessions

• Nov 2023: [video] [slides]
• Oct 2022: [video] [slides]
• Nov 2020: [video] [tips & resources from students]

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GGB Research Day Showcases Work of Students and Labs

Ephraim J. Gardner, with his award-winning research poster for his study titled “Investigating Novel Players Involved in AR Cistrome Reprogramming.”

By Dirk Hoffman

Published May 28, 2024

Students and laboratories affiliated with the  Genetics, Genomics and Bioinformatics graduate program  (GGB) shared their findings during the 10th annual GGB Research Day.

There were 22 participants, with seven delivering oral presentations and 15 presenting a research poster.

Campus cash prizes of $100 were awarded to the best in category in oral presentation and poster presentation.

GGB Program Has Grown Dramatically in Decade

GGB Research Day is an annual event that allows students and postdoctoral researchers at UB the opportunity to show their research, according to  Michael Buck, PhD , professor of  biochemistry  and director of the GGB graduate program.

“We’ve been doing this for 10 years and the program has grown dramatically; we have faculty from across the university, from the College of Arts and Sciences and the School of Engineering and Applied Sciences,” he said. “Most of us are here at the Jacobs School, but we also have faculty at Roswell Park. And it is great that we have representation from all of these entities today.”

Buck told attendees of the May 16 event in the Ronald I. Dozoretz, MD ’62 Auditorium and the second-floor atrium of the  Jacobs School of Medicine and Biomedical Sciences  building, that everyone was encouraged to judge the posters.

“We have official poster judges, but we also want everyone to look at the posters and judge them. We have a sheet that can be filled out, we ask that you list the top two posters,” he said. “When we judge the posters, we will put all those in for consideration for the final awards.”

Bone, Prostate Cancer Studies Take Top Awards

Emily Isenhart, a trainee in the doctoral program in genetics, genomics and bioinformatics , was awarded the “Best Oral Presentation Award” for her study titled “Evaluating A Novel Replication Stress Response Targeted Treatment Combination in Ewing Sarcoma.”

Isenhart’s mentors/collaborators include:

• Ajay Gupta, MD , clinical assistant professor of pediatrics in the Jacobs School
• Bryan Gillard, a research associate at Roswell Park Comprehensive Cancer Center
• Kristopher M. Atwood, PhD, research assistant professor of biostatistics in UB’s School of Pharmacy and Pharmaceutical Sciences
• JJ Martin, a cancer biology doctoral student at Roswell Park
• Joyce Ohm, PhD, chair of cancer genetics and genomics at Roswell Park

The “Best Poster Presenter Award” was given to Ephraim J. Gardner, a trainee in the doctoral program in pharmacology and toxicology , for his study titled “Investigating Novel Players Involved in AR Cistrome Reprogramming.”

Gardner is mentored by Remi Adelaiye-Ogala, PhD , assistant professor of medicine in the Division of Hematology/Oncology .

Other collaborators on the study were:

• Surendra Gulla, PhD, a postdoctoral associate in the Department of Medicine in the Jacobs School
• Leslie McClinton III, a student in the MD-PhD Program
• Shreya Shyam Sundar, a trainee in the doctoral program in pharmacology and toxicology
• Jonathan Edward Bard, PhD, associate director of bioinformatics at the  New York State Center of Excellence in Bioinformatics and Life Sciences

The event’s keynote speaker was Rebekah M. Charney, PhD , assistant professor of biochemistry , whose topic was “Uncovering the Mechanisms of Birth Defects Associated with the Neural Crest.”

Fund Established for Master’s Students

This year, the GGB graduate program was also able to issue another award, according to Buck.

“We were fortunate enough to receive a donation for the GGB program, to actually help the graduate students, especially the master’s students who are interested in bioinformatics,” he said.

The Raja and Smitha Krishnan, BS ’00, Bioinformatics Precision Medicine Research Assistantship Fund has been established to provide financial assistance to a student who is in good academic standing, has completed their first year of the master of science program in genetics, genomics and bioinformatics , and plans to do a research project that relates to next generation sequencing/other relevant methods applied to biomarker discovery/precision medicine.

“The award can be used to support the students’ research or to attend a conference,” Buck said. “Students submitted a research statement and had to get a letter of recommendation from their adviser. We also looked at their grades in bioinformatics courses and their previous transcripts.”

Eshaan S. Deshmukh, the inaugural winner of the assistantship award, had a 3.9 grade point average in his first semester of study, according to Buck.

Deshmukh is conducting research on attention-deficit/hyperactivity disorder (ADHD) in the lab of Jamal B. Williams, PhD , assistant professor of psychiatry .

Do you have questions or comments for the Office of the Provost? Let us know your thoughts and we’ll be happy to get back to you.

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A campus-wide, student-centric effort to ensure that UB’s PhD programs remain among the strongest in the world.

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UB Awards 320 Biomedical Science Degrees; 35 Earn PhDs

Commencement 2024.

Lauryn Alexandria Scott, a biomedical sciences undergraduate student, is all smiles as she walks across the stage during the May 19 biomedical sciences commencement ceremony.

By Dirk Hoffman

Published May 29, 2024

Thirty-five doctoral, 76 master’s and 209 baccalaureate candidates were eligible to receive degrees in biomedical science fields during the May commencement ceremony.

2024 Commencement Video

Related Links

• Commencement Program
• Full Gallery of Biomedical Sciences Commencement Photos

Six graduate students and nine senior undergraduates were singled out for special honors, including four graduates who received a Chancellor’s Award, the highest State University of New York undergraduate honor.

Graduates completed work in 14 departments or programs of the Jacobs School of Medicine and Biomedical Sciences :

• biochemistry
• biomedical informatics
• biomedical sciences
• biotechnical and clinical laboratory sciences
• genetics, genomics and bioinformatics
• medical physics
• microbiology and immunology
• natural sciences interdisciplinary
• neuroscience
• nuclear medicine technology
• pathology and anatomical sciences
• pharmacology and toxicology
• physiology and biophysics
• structural biology

Graduates also completed the following programs offered in alliance with the  Roswell Park Comprehensive Cancer Center Graduate Division : cancer pathology and prevention, cancer sciences, immunology, and molecular pharmacology and cancer therapeutics.

Fifteen of the doctoral degrees and eight of the master’s degrees were awarded in Roswell Park’s programs.

Allison Brashear, MD, MBA, UB’s vice president for health sciences and dean of the Jacobs School, congratulates the Class of 2024.

Lessons Learned From Recent Solar Eclipse

Allison Brashear, MD, MBA , UB’s vice president for health sciences and dean of the Jacobs School, welcomed attendees to the May 19 event at UB’s Center for the Arts and addressed the graduates.

“It fills my heart with immense joy to see all of you gathered here today,” she said.

“In the face of the challenges that have beset us in recent times, these bright scholars and scientists have exhibited extraordinary resilience, determination and perseverance in their academic endeavors. I am confident that these qualities will serve as guiding lights as they embark upon their journeys in their respective fields.”

She noted that biomedical science is one of the broadest areas of medical science and underpins much of modern medicine.

“Biomedical scientists are at the heart of multidisciplinary teams in health care. Biomedical research looks at ways to prevent and treat disease,” Brashear said. “Your innovative approaches and unwavering dedication will continue to push the boundaries of scientific discoveries and technology, leading to a brighter and healthier future for all of us.”

In his address, UB President Satish K. Tripathi, PhD, told the graduates they could learn a lot from the recent solar eclipse that generated excitement in Western New York in early April.

“Allow me to share three tips of advice gathered from the path of totality,” he quipped.

“Reconnect with the natural world, as often as possible. Instead of taking selfies, take time for self-reflection,” he said. “When you give wide berth to the stressors of modern life, you allow yourself space to find both your place in the world and your responsibility to it.”

“Do not regret circumstances beyond your control,” Tripathi added, noting the sunny days leading up to the eclipse, but the extreme cloudiness that persisted over much of WNY on April 8, the day of the event. “Notwithstanding the uncooperative weather, we all experienced a breathtaking moment. Magnify your disappointments and you miss occasions for learning, enrichment and wonder.”

“Lastly, use your expertise for the greater good. When you apply what you have learned for others’ benefit, you put your UB education to its highest purpose,” he said.

Doctoral graduate Haley Victoria Hobble won two separate graduate awards for her research and dissertation. She is flanked by Mark R. O’Brian, PhD, left, and John C. Panepinto, PhD.

Outstanding Graduates Recognized

Biochemistry graduate student research achievement award.

Doctoral graduate Haley Victoria Hobble was honored for research that received national or international recognition and for being selected to give an oral presentation at a major national or international meeting.

Dissertation: “Intrafamily Heterooligomerization of the N-Terminal Methyltransferase METTL11A”

Mentor: Christine E. Schaner-Tooley, PhD , associate professor of biochemistry

Roswell Park Graduate Division Award for Excellence in Research

Doctoral graduate Abigail Cornwell was the recipient of this award for outstanding research for her dissertation titled “Impact of Benzodiazepines on the Pancreatic Ductal Adenocarcinoma Tumor Microenvironment”

Mentor: Michael Feigin, PhD, associate professor of oncology, Roswell Park Comprehensive Cancer Center

The Dean’s Award for Outstanding Dissertation Research

Doctoral graduate Haley Victoria Hobble was the winner of this award that recognizes demonstrated excellence in research.

She was honored for her dissertation: “Intrafamily Heterooligomerization of the N-Terminal Methyltransferase METTL11A”

Mentor:  Christine E. Schaner-Tooley, PhD , associate professor of  biochemistry

The Microbiology and Immunology Award for Excellence in Dissertation Research in Memory of Dr. Murray W. Stinson

Doctoral graduate Katherine Shannon Wackowski was honored for her dissertation “Cooperation of RESC Proteins in Trypanosome RNA Editing and Holoenzyme Dynamics”

Mentor: Laurie K. Read, PhD , professor of microbiology and immunology

Dennis Higgins Award for PhD Dissertation Research in Pharmacology and Toxicology

Doctoral graduate Shirley Xu was honored for her dissertation “Troponin-Mediated Autoimmune Mechanisms of Immune Checkpoint Inhibitor-Induced Myocarditis”

Mentor: Umesh Sharma, MD, PhD , associate professor of medicine

Bishop Neuroscience Thesis Award

Doctoral graduate Richard Adam Seidman was honored for his dissertation “Oscillatory Calcium Mediated Regulation of Human Oligodendrocyte Progenitor Cells”

Mentor: Fraser J. Sim, PhD , professor of pharmacology and toxicology

The Structural Biology Award for Excellence in Dissertation Research in Memory of Dr. Robert H. Blessing

Doctoral graduate Nicholas David Clark was honored for his dissertation “Structure/Function Studies of Virulence Factors from Periodontal Pathogens and Membrane Sphingolipid Hydroxylases”

Mentor: Michael G. Malkowski, PhD , professor and chair of structural biology

The four undergraduate SUNY Chancellor’s Award winners, from left, Bryan R. Renzoni, Lea Kyle, Rachel Esther Sanyu and Sarah Bukhari, along with Jennifer A. Surtees, PhD.

SUNY Chancellor’s Award for Student Excellence

Sarah Bukhari, Lea Kyle, Bryan R. Renzoni and Rachel Esther Sanyu were recognized with the SUNY Chancellor’s Award. It recognizes students for their integration of academic excellence with other aspects of their lives that may include leadership, athletics, community service, creative and performing arts, entrepreneurship or career achievement.

Bukhari graduates with a bachelor’s degrees in biochemistry. She is an undergraduate researcher in the lab of  Jennifer A. Surtees, PhD , professor of  biochemistry . Bukhari secured funding from the Experiential Learning Network and a Mentored Research micro-credential.

Beyond academics, the Grand Island, New York, native is deeply involved in community engagement, serving as both the volunteer coordinator and vice president of the largest student-run pre-health organization, the Association of Pre-Medical Students, and was awarded a Community Engagement micro-credential and gathering 500+ volunteer hours.

With dual roles as dance coach and social media coordinator for the Pakistani Student Association, she fosters a network of communities to embrace diversity and celebrate traditions.

A native of Martville, New York, Kyle is a University Honors College Scholar who graduates with a Bachelor of Science degree in biochemistry with minors in both physics and public health.

She has been a Student Association, Recreation Department, Student Engagement and TASS Center employee. She also is the current president of UB Rotaract, a volunteering club on campus.

Kyle is also a student researcher in the  Department of Microbiology and Immunology ,  Elizabeth A. Wohlfert, PhD , associate professor of microbiology and immunology, focusing on the effects of chronic inflammation on muscle function due to chronic infection..

Renzoni, of East Amherst, New York, graduates with a Bachelor of Science degree in biochemistry. He is a University Honors College Presidential Scholar and Honors College Ambassador.

A BioXFEL Scholar, he has received multiple research internship positions and worked in two different laboratories, contributing to work on the development of novel organic and organometallic compounds with applications as cancer therapies.

Renzoni has also served as a co-chair of the G14 Leadership Summit, president and executive adviser of UB ChemClub, and both assistant music director and music director of The Enchords, UB’s all-gender a cappella group.

Sanyu, an international student from Uganda, graduates with a bachelor’s degree in pharmacology and toxicology.

She is an Honors College Scholar who conducted oncology research within the lab of Wendy Huss, PhD, at Roswell Park Comprehensive Cancer Center and at Johnson & Johnson, where she earned the 2023 Inspire Spotlight Award.

Sanyu has also worked as a student assistant in the Office of Interprofessional Education and an honors peer mentor. 

She is a founder of a health care app and is involved with the community through her work with Suubi Cancer Relief and Hillside Family of Agencies.

Sanyu also loves to dance and was a member of the UBMystique and 8-Count dance teams.

Undergraduate Outstanding Senior Awards

The following awards honor high academic performance and involvement in the campus community and external organizations:

Biochemistry Sarah Bukhari

Biomedical Sciences Alexis Krayevsky

Biotechnology Tanvi Dixit

Medical Technology Eva Wisniewski

Neuroscience Leah Heiler

Nuclear Medicine Technology Kelly Mahan

Pharmacology and Toxicology Rachel Esther Sanyu

Commencement speaker Styliani-Anna (Stella) E. Tsirka, PhD, tells the graduates to never lose sight of the wonder and awe that first drew them to the biomedical sciences.

Keynote Theme One of Compassion, Resilience

Commencement speaker Styliani-Anna (Stella) E. Tsirka, PhD, the Miriam and David Donoho Distinguished Professor of pharmacological sciences and vice dean for faculty affairs at the Renaissance School of Medicine at Stony Brook University, spoke about empathy and persistence.

“Beyond the technical skills and academic achievements that you have earned and will continue to earn, what will set you apart is your capacity for empathy, for compassion, your ethical responsibility,” she said.

“In the pursuit of scientific advancement, try not to lose sight of the human element and the living organisms whose lives may be impacted by our work.”

Tsirka noted that biomedical scientists have a serious duty to use their expertise to make society better, alleviate suffering and to promote the health and well-being of all people, regardless of race, gender or socioeconomic status.

“If you decide to further pursue scientific inquiry, do remember that you will need persistence and resilience,” she said. “Experimental science is not for the faint of heart.”

She remarked that her lab members often talk about the fact that it is called “research” instead of just “search.”

“The majority of our experiments will not be successful, but the ones that provide that ‘eureka moment’ will last a lifetime,” Tsirka assured the graduates. “Remember that setbacks are valuable lessons that shape the way for future success.”

Tsirka encouraged the graduates to embrace the idea of lifelong learning.

“To remain at the forefront of your field, you must remain curious and receptive of new ideas,” she said.

“Importantly, science is also delicate. Continue to approach it with integrity and rigor.”