About Me

I am a PhD candidate in the Graduate Group in Applied Mathematics (GGAM) in University of California Davis advised by Krishna Balasubramanian. My research focuses on applying probabilistic and Partial Differential Equations (PDE) tools to understand sampling and stochastic optimization algorithms used in Machine Learning (ML).