Research interests
I am broadly interested in computational biophysics, machine learning and statistical mechanics. During my PhD, my research focused on the assembly and nuclear entry of the cone-shaped capsid during the HIV-1 replication cycle using multiscale simulations and modeling. As a Miller fellow, I will explore statistical field theory and machine learning approaches to uncover the physical principles governing electromechanical processes in biological systems.
Hosts: Kranthi Mandadapu, Karthik Shekhar
Ph.D. Institution: The University of Chicago