I am an assistant professor in the Department of Computer Science at Purdue University.
My research interests lie at the intersection of optimization and machine learning, both in theory and practice. In particular, I have worked on improving matrix estimation techniques for faster higher-order methods for convex and non-convex optimization, in both sequential and distributed settings.
Previously, I was a research assistant professor at the Toyota Technological Institute at Chicago (TTIC). I received my PhD in computer science from Princeton University in 2019, where I had the great fortune of being advised by Elad Hazan. Before that, I studied computer science and math at Duke University as a Benjamin N. Duke Scholar.