GGAM comprises faculty members from departments across the campus, including its home, the Department of Mathematics. Below is a brief description of faculty research, links to personal and departmental web pages plus some "Related Courses" which can serve as a general study guideline for students interested in research with a particular faculty member. Students who want a more complete description of a faculty member's research interests are encouraged to contact them.
| Name | Research/Related Courses |
|---|---|
| Computational biology, mathematical modeling of
biological systems, statistical signal processing and inverse problems with applications to genomics and structural biology, machine learning. In particular, I am interested in using probabilistic models and statistical inference to predict RNA structural dynamics from biochemical structure probing data and biophysical principles. | |
| Computational biophysics, systems biology, gene regulation modeling, signal transduction networks, multiscale modeling, non-equilibrium dynamics, statistical mechanics, stochastic processes, machine learning, high-dimensional dynamical systems. |