Theory and data-driven computational biophysics
Research Summary
Our group uses theory, multi-scale computation and AI to solve wide range of biophysical problems. Currently our efforts are spent developing teqniques for prediction of allostery at single molecules level, uncovering seqeuence encoded dynamics of biomolecular condensates and developing mesoscopic and systmetem biology models of gene regulation.
Our research is inspired by concrete examples in biology and is often carried out in close collaboration with experimentalists. This helps to keep us, "know-it-all" theorists honest, down to earth and humble about our state of knowledge in complex biological matters.
Leveraging multidisciplinary computational tools for studying diverse biophysics inspired problems equips students with a critical computing, analytic and organizational skills that are highly sought out in and out of academe!