Program Information 

Computational and Systems Biology examines biological systems through mathematical analysis, numerical simulation, data collection, refinement and improvement of models based on comparison with experimental data and the development of theories to enhance our understanding of biological systems. Fields of modern genetics (including genomics and proteomics) and molecular and cell biology are the current focus of research in systems biology. Myriad computational tools including deterministic and stochastic modeling, Monte Carlo simulations, data mining and data analysis are needed in approaching these problems. Applied mathematical topics including nonlinear dynamical systems (discrete and continuous), partial differential equations, probability and statistics, linear algebra, network theory, numerical analysis, control theory, asymptotic and perturbation methods provide some of the fundamental tools needed to carry out the requisite modeling and analysis.

The Joint PhD program in Computational and Systems Biology will train scientists, mathematicians, engineers, and quantitative biologists in modern approaches in the life sciences. A combination of coursework, independent study, optional laboratory rotations and individual mentoring will provide a strong grounding in biology and genomics as well as in mathematical methods needed for modeling and computational work.

Fellowships and living stipends will be available.

Program Handbook