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.
| Nov 2026 | "Fast Geometric Spanners via Approximate Nearest Neighbor Search" was accepted to ITCS 2027! |
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| 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! |