Program in Quantitative and Computational Biology

Director

Leonid Kruglyak

Executive Committee

William Bialek, Physics

David Botstein, Molecular Biology, Lewis Sigler Institute for Integrative Genomics

Curtis Callan, Physics

Hilary Coller, Molecular Biology

Leonid Kruglyak, Ecology and Evolutionary Biology

Ihor Lemischka, Molecular Biology

Simon Levin, Ecology and Evolutionary Biology

Joshua Rabinowitz, Chemistry

Stanislav Shvartsman, Chemical Engineering

Mona Singh, Comptuer Science

Olga Troyanskaya, Computer Science

Ned Wingreen, Molecular Biology

Associated Faculty

Bonnie Bassler, Molecular Biology

James Broach, Molecular Biology

Zemer Gitai, Molecular Biology

John Groves, Chemistry

Michael Hecht, Chemistry

John Hopfield, Molecular Biology

Manuel Llinás, Molecular Biology

Coleen Murphy, Molecular Biology

David Tank, Molecular Biology/Physics

Saeed Tavazoie, Molecular Biology

Eric Wieschaus, Molecular Biology

 

The Program in Quantitative and Computational Biology (QCB) is a collaboration in multidisciplinary graduate education among the Lewis-Sigler Institute for Integrative Genomics and the Departments of Chemistry, Computer Science, Ecology and Evolutionary Biology, Molecular Biology, and Physics.

Administered from the Lewis-Sigler Institute, QCB is intended to facilitate graduate education at Princeton at the interface of biology and the more quantitative sciences and computation, including, among others, the fields of genomics, biophysics, computational neurobiology, systems biology, population biology and quantitative genetics, molecular evolution, computational biology, and microbial interactions, all of which are already of interest to faculty in the collaborating departments and at the Institute.

Ph.D. degrees are offered by the collaborating academic departments with some indication of the interdisciplinary nature of the thesis.

Courses and Curriculum

Given the diversity of the participating departments, there is no required “core curriculum.” Each participating department has developed a course of study appropriate for QBC students. There are already many diverse and multidisciplinary courses available to QCB students, and new courses are being added in the area of genomics and bioinformatics.

Students are encouraged to attend the Lewis-Sigler Institute’s weekly Quantitative and Computational Biology Seminars and to have lunch in a small QCB discussion group with speakers, mostly from other institutions, whose research is of special interest. Students are also encouraged to attend the weekly Postdoc and Fellows Seminars.

Graduate Courses of Interest

Applied and Computational Mathematics

518 Applied Stochastic Analysis and Methods

Chemical Engineering

504 Chemical Reactor Engineering

533 Molecular Recognition and Biomolecular Engineering

554 Topics in Computational Nonlinear Dynamics

Chemistry

514 Molecular and Biomolecular Imaging

550 Contemporary Problems in Molecular Biophysics

Computer Science

511 Foundations of Machine Learning

551 Introduction to Computational Molecular Biology

Ecology and Evolutionary Biology

502, 504 Fundamental Concepts in Ecology, Evolution, and Behavior I and II

Molecular Biology

508 Advanced Topics in Neurobiology

514 Biological Dynamics

515 Method and Logic in Quantitative Biology

523 Molecular Basis of Cancer

547, 548 Special Topics in Molecular Biology

549 Laboratory in Neuroscience

Physics

561, 562 Biophysics

557 Electronic Methods in Experimental Physics

Undergraduate Courses of Interest

Integrated Science Courses

CHM/COS/MOL/PHY 231–234 An Integrated, Quantitative Introduction to the Natural Sciences I, II

CHM/COS/MOL/PHY 235, 236 An Integrated, Quantitative Introduction to the Natural Sciences III, IV

Applied and Computational Mathematics

350 Introduction to Differential Equations

Chemical Engineering

448 Introduction to Nonlinear Dynamics

Computer Science

226 Algorithms and Data Structures

323 Computing for the Physical and Social Sciences

494 Special Topics in Artificial Intelligence

Ecology and Evolutionary Biology

320 Molecular Evolutionary Genetics

324 Theoretical Ecology

Mathematics

309 Probability and Stochastic Systems

Molecular Biology

342 Genetics

408 Cellular and Systems Neuroscience

429 Selected Topics in Molecular Biology and Human Genetics

431 Advanced Topics in Developmental Neurobiology

437 Computational Neurobiology and Computing Networks

457 Computational Aspects of Molecular Biology

Operations Research and Financial Engineering

406 Statistical Design of Experiments

Psychology

407 Developmental Neuroscience

In addition, the program expects to introduce new courses in the area of genomics and bioinformatics.

For more information on the graduate program in QCB, please consult the Web at www.genomics.princeton.edu/topics/grad.html.