Program Overview

Program Overview

The Graduate Program in Quantitative and Computational Biology (QCB) is designed to facilitate graduate education 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.

Program Description

The QCB program covers the fields of genomics, computational biology, systems biology, biophysics, quantitative genetics, molecular evolution, and microbial interactions. The program aims to educate the next generation of leaders at the interface of biology with math, physics, chemistry, and computation.

Eligibility and Application

Applicants need not have developed skills in both quantitative science and biology during their undergraduate studies to be future leaders. The program strongly encourages applications from those with strong backgrounds either in quantitative science or biology and the desire to learn the other. Quantitative skills reliably translate well across disciplines, and applications are particularly encouraged from those with undergraduate degrees in math, physics, chemistry, or computer science.

Program Benefits

Students receive a stipend and tuition that is covered throughout the program.

Faculty

The QCB program is led by a team of distinguished faculty, including:

• Britt Adamson
• Michelle Chan
• Michael Levine
• Coleen T. Murphy
• Cameron A. Myhrvold
• Stanislav Y. Shvartsman
• Ned Wingreen
• Martin H. Wühr

Research Areas

The QCB program encompasses a range of research areas, including:

• Biochemistry, Biophysics & Structural Biology
• Cell Biology, Development & Cancer
• Genetics & Genomics
• Microbiology, Virology & Immunology
• Quantitative & Computational Biology

Core Facilities and Instruments

The program has access to a variety of core facilities and instruments, including:

• Biophysics
• Confocal Microscopy
• Drosophila Media
• Electron Microscopy
• Flow Cytometry
• Histology
• Imaging Facility at LSI
• Laboratory Animal Resources
• Macromolecular Crystallography
• Nikon Center of Excellence
• Proteomics & Mass Spectrometry
• Sequencing & Microarray
• Synseq

Programs and Institutes

The QCB program is part of a broader network of programs and institutes, including:

• Graduate Program in Quantitative and Computational Biology
• Glenn Laboratories For Aging Research
• Lewis-Sigler Institute for Integrative Genomics
• Princeton Neuroscience Institute