Biography

Hello! I am a postdoctoral research fellow at the Department of Applied Mathematics and Statistics at Johns Hopkins University (JHU). I also hold a second appointment at the Department of Chemical and Biomolecular Engineering at JHU. My advisor is Ioannis Kevrekidis. My current research focuses on developing machine learning algorithms for scientific computing, specifically for computational chemistry. My goal is to integrate machine learning and advanced mathematical techniques to address the challenge of computational drug discovery.

Previously, I worked on micro-macro Markov chain Monte Carlo methods for multiscale molecular dynamics, micro-macro acceleration for stochastic differential equations with a time-scale separation, and reaction-path continuation methods for chemical systems. Now, I am leveraging my expertise in machine learning for scientific computing to push the boundaries of what computational tools can achieve in the world.

I earned my PhD from KU Leuven in Belgium in 2023. My professional journey has also included working as a software engineer at Facebook, where I developed physics engines for virtual reality applications.