Current research in the group is driven by a desire to understand defining principles that makes active, living matter different from passive inanimate matter.
Our group uses an eclectic blend of theory, data and multi-scale computation to study a wide range of biological systems; from single enzyme dynamics to biomolecular condensation and cellular organelle formation. Specifically the core tools of the trade include; statistical physics, data analytics and machine learning.
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!