Applied Mathematics

I am a postdoctoral research associate in the Department of Mathematics and Statistics at UMass Amherst working with Markos Katsoulakis, Luc Rey-Bellet, and Paul Dupuis. My research interests lie broadly in the mathematics of machine learning for analyzing and developing novel generative modeling algorithms from the perspectives of mathematical control theory and mean-field games. I also develop new methods in rare event simulation for dynamical systems and sampling methods for Bayesian computation using tools from generative flows.

I earned my PhD in Computational Science and Engineering from MIT in 2022. My advisor was Youssef Marzouk who heads the Uncertainty Quantification group. I earned my Master’s degree in Aeronautics & Astronautics at MIT in 2017, and my Bachelor’s degrees in Engineering Physics and Applied Mathematics at UC Berkeley in 2015. I was a MIT School of Engineering 2019-2020 Mathworks Fellow. I spent the summer of 2017 as a research intern at United Technologies Research Center (now Raytheon), where I worked with Tuhin Sahai on novel queuing systems.