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 lies at the intersection of computational statistics and computational dynamics. I enjoy studying how these two fields interact with and complement each other for predictive modeling and uncertainty quantification.
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.
Recent news & upcoming events
September 26, 2022: I will be presenting at SIAM MDS 2022 in the minisymposium on Frontiers in Monte Carlo Methods for Physics. My talk will be about our work on the Transport map unadjusted Langevin algorithm.
September 1, 2022: I joined the Department of Mathematics and Statistics at UMass Amherst as a postdoctoral research associate.
April 12, 2022: I am co-organizing a minisymposium at SIAM UQ 2022 titled Data-Driven Approaches to Rare and Extreme Events, in which I will be presenting our work on Data-driven methods for rare event simulation in stochastic dynamical systems.