Snigdaa Sethuram

Graduate Research Assistant

B.S. in Physics, Rutgers University (2019)

I work in computational astronomy, and during my undergrad career I focused on zoom-in simulations of supermassive galaxies from low to high redshifts in order to understand the effect of black hole feedback on size and structural evolution of massive galaxies. I’m currently working on analyzing mock observations, and am interested in learning more about the evolution of galaxies and black holes, the primordial universe, and how we can incorporate machine learning to streamline the modeling & simulation process. I am working predominantly with Enzo, Rockstar, YT, and Powderday (a radiative transfer code).