My current research is in biological physics.Â
I use stochastic modeling as a tool to understand optimality in cell growth and proliferation. I am also interested in the formal aspects of stochastic processes, optimal control and reinforcement learning.
Using a stochastic sequential model for cell division, we investigate optimal transmission of information encoded in stochasticity across the molecular, cellular and population scales in the age-dependent branching process of cell proliferation.
In preparation.
Coauthors: Motasem ElGamel, Farshid Jafarpour, Andrew Mugler
A critical gene expressed during the early stages of morphogenesis of a fruit fly embryo is the gap gene Hunchback (Hb). Exploiting a mapping to a physical model, we investigate factors that influence the noisy expression of this gene and characterize an optimum in terms of sharpness of the Hunchback boundary.
Phys. Rev. E 112, 034410 - Published 15 September, 2025
https://arxiv.org/abs/2505.11212
Collaborators: Michael Vennettilli, Andrew Mugler