About Me
Hi! I am a PhD student at Berkeley AI Research, advised by Alexei A. Efros.
I am interested in understanding emergent phenomena in deep learning. Lately, I have been thinking about linearity in weight space and mode connectivity, learning dynamics, universality in representations, and the role of data.
My goal is to leverage these insights to guide the design of better algorithms and models. My research is supported by the DOE Computational Science Graduate Fellowship.
Previously, I graduated from Northwestern in 2023 with a BS in Computer Science. During my undergrad, I had the pleasure of working with many wonderful mentors: Aggelos Katsaggelos,
Pietro Perona, Jennifer J. Sun, Vibhav Vineet,
and Neel Joshi.
Selected Publications
(See my Google Scholar for a full list)
