The Program in Quantitative and Computational Biology (QCB) is intended to facilitate graduate education at Princeton at the interface of biology and the more quantitative sciences and computation.

The Program in Quantitative and Computational Biology (QCB) is intended to facilitate graduate education at Princeton at the interface of biology and the more quantitative sciences and computation. Administered from The Lewis-Sigler Institute for Integrative Genomics, QCB is a collaboration in multidisciplinary graduate education among faculty in the Institute and the Departments of Chemistry, Computer Science, Ecology and Evolutionary Biology, Molecular Biology, and Physics. The program covers the fields of genomics, computational biology, systems biology, evolutionary and population genomics, statistical genetics, and metabolomics and proteomics.

QCB Open House: We welcome prospective Ph.D. applicants interested in these areas of research to register for our open house on TBD 2024. This virtual event will include a program and research overview, faculty panel, a guide to applying to graduate school, and a graduate student panel. We strongly encourage prospective Ph.D. applicants from historically underrepresented groups in STEM to attend and learn about QCB at Princeton. 

Contacts

Application Deadline

QCB at Princeton is a degree-granting Ph.D. Program, with an application deadline of December 1, 2023. Apply directly to the Quantitative and Computational Biology Department through the Graduate School.

Ph.D. Program Requirements

Courses, electives and other program requirements.

How to Apply

Application deadline, fee waiver information and admission requirements.

Financial Support

General program financial support and fellowship information.

Faculty and Research

LSI Faculty and other participating faculty of the program.

Graduate Students

Current first year, all graduate students and alumni.

Student Committees

Student committees, committee members and associated programs.

Peer Mentoring Program

This program facilities interactions between first-year and senior graduate students.

Related Events

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