Mathematical Biology

The careful modeling, analysis, and simulation of living systems using the tools of applied mathematics have led to novel biological insights.  Our faculty develop mathematical models and perform mathematical analysis of biological systems by both using and developing new techniques in dynamical systems, applied analysis, network science, stochastic processes, probability theory, computational mathematics, and numerical analysis.  Application areas include neuroscience, ecology, systems biology, infectious diseases, genetics, and social systems.

Mathematical biology courses include the study of modeling in the biological sciences, computational neuroscience, as well as an advanced seminar series.

See the Mathematical Biology Group page for additional information.