We try to make theoretical and computational models of biological processes at all scales, including subcellular processes of gene expressions and organelle biogenesis, the motion of cell collectives and tissue mechanics during embryonic development, and population dynamics of interacting species. Apart from developing theoretical frameworks, we also enjoy analyzing experimental data to check our predictions, working closely with experimental biologists. The methods we use are primarily based on statistical physics and theories of stochastic processes and probability.

 

Students with backgrounds in physics, applied mathematics, and computer science who are intrigued (or at least wonder!) about the questions of 'life' are always welcome. Biology students having a deep interest in quantification and unification of data through modeling are also welcome to pursue collaborative projects with experimental labs