Cells have the remarkable ability to detect and respond to environmental stimuli in diverse, context-dependent ways. Cellular responses are controlled by physical features and dynamical processes that span multiple length, time, and energy scales. Our research group uses theoretical and computational methods rooted in statistical mechanics to help untangle the complex, dynamical interplay of cell components in time and space. Our research interests include:
Computational cell biology and immunology
Theory and simulation of soft biological materials
Membrane and polymer biophysics
Antigen recognition and lymphocyte activation
Stochastic and spatial effects in biochemical reaction networks
Intracellular transport
Systems biology
Statistical mechanics