Govind Ramnarayan

Govind received his Ph.D. in Computer Science from MIT in 2020 advised by Prof. Elchanan Mossel, with a thesis covering topics in theoretical computer science and mathematical models of social phenomena. Previously, he majored in Electrical Engineering and Computer Science (EECS) at UC Berkeley, where he volunteered as a tutor with Eta Kappa Nu. After his Ph.D., he spent two years working on the Runtime team at Neural Magic Inc., where he optimized sparse neural network inference on x86 CPUs. In his free time, he enjoys going on walks and trying new restaurants.