Building quantitative and computational frameworks to model biological systems, from molecular dynamics to population-scale phenomena — complementing wet-lab research across the department.
Computational and theoretical groups model protein folding and self-assembly, stochastic processes in gene regulation, biological networks and machine learning, and complex systems biology — working in close collaboration with the Departments of Mathematics & Statistics and Physical Sciences.
