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.
My current research interests include mathematics of generative modeling, rare event simulation for dynamical systems, and sampling methods for Bayesian computation.
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
October: I will be visiting Emory University and speaking in their Computational and data-enabled science seminar series.
I gave a talk on our work Mean-Field Games Laboratory for Generative Modeling to the Machine Learning and Mean Field Games Seminar series
June: I gave a talk on our work Mean-Field Games Laboratory for Generative Modeling to the UCLA Level Set Collective.
May: I will be attending the Optimal transport in Data Science at ICERM. I will be presenting a poster on our recent work on the Mean-Field Games Laboratory for Generative Modeling.