👋 Hey there! I’m a fourth year Ph.D. student at NYU Stern and an NSF Graduate Research Fellow.

My research lies broadly at the intersection of computation and economics. I’m interested in machine learning, data-driven decision making, adaptive experimentation, and personalization. I’m currently working on problems in optimal experimentation, equilibria effects of experimentation with interference, sampling methods for better causal inference in text (including representation learning). I spent much of the 2023-2024 academic year as a research fellow at the United Nations designing methods to better detect mis- and disinformation targeting peacekeepers online. Prior to starting graduate school, I was an undergraduate at Washington University in St. Louis, where I studied computer science + economics. In my free time, I enjoy hiking, snowboarding, and exploring the NYC food scene!

Feel free to reach out if you’re interested in collaborating or otherwise chatting!