About me

I am an undergraduate student (graduating senior) at Carnegie Mellon University majoring in Statistics and Machine Learning, with a minor in Computer Science. My research thus far has included work in distribution shifts in decision-focused learning, machine learning-based approaches for the Multi-Agent Pathfinding (MAPF) problem, and (ongoing) zero-shot predictive quality of LLMs on tabular data. For these projects, I have had the pleasure of being advised by Professors Bryan Wilder, Maxim Likhachev, and Steven Wu.

Beginning in the Fall of 2025, I will be heading to Cornell Tech as a 1st year PhD student, advised primarily by Nikhil Garg!

News

April 14th, 2025: Committed to Cornell Tech :)