Research in my group has focused on combining analytical approaches from mathematics and physics with numerical simulations to model stochasticity in gene expression and its regulation. We are also currently developing new approaches for entropy-regularized reinforcement learning using the analytical framework of large deviation theory as developed in recent research in non-equilibrium statistical mechanics.
Background
My current research focuses on stochastic modeling of gene expression, particularly rare events, and on developing novel analytical and computational approaches for entropy-regularized reinforcement learning.