I am a PhD student in the CS Theory Group at the University of Pennsylvania, where I am extremely grateful to be advised by Erik Waingarten and Sanjeev Khanna. I am interested in algorithm design for problems in machine learning and high-dimensional geometry. Previously, I studied computer science and mathematics at Columbia University, where I was fortunate to have been mentored by Alexandr Andoni and Xi Chen.

In Fall 2026, I had the pleasure of interning as an Applied Scientist at AWS, hosted by the wonderful Nina Mishra and Tal Wagner. During my undergrad, I interned as a software engineer at Apple and AWS, and did mathematics research as part of the SMALL REU.

In my free time, I enjoy long-distance running, reading, writing, playing music, and watching movies.

News

Nov 2026 "Fast Geometric Spanners via Approximate Nearest Neighbor Search" was accepted to ITCS 2027!
Sep 2026 "Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms" was accepted to NeurIPS 2026!
Dec 2025 Presented "A Polynomial Space Lower Bound for Diameter Estimation in Dynamic Streams" at FOCS 2025!