I am a third-year PhD student in MIT EECS, co-advised by Martin Wainwright and Stephen Bates. Before starting my PhD, I studied computer science and statistics at Duke University, where I received the BEST Award for my undergraduate thesis. During my undergraduate studies, I was fortunate to be advised by Simon Mak and Cynthia Rudin. Outside of research, I enjoy seeking out beautiful landscapes around the world and photographing them.

Research Interests

My recent research focuses on statistical inference with strategic agents. Traditional statistical paradigms often assume that data are generated by passive agents, but an increasing share of modern data comes from systems with multiple decision-makers, each with their own objectives. In these settings, statistical decisions can affect agents’ utilities, which may in turn shape their behavior and ultimately influence the data that are observed. I study this feedback loop between statistical decision-making and the agents who generate the data. More broadly, I develop principles and methods for inference in these settings, drawing on tools from game theory, statistics, and decision theory.

More recently, I have also become interested in how statistical methods are used in AI evaluation and LLM reasoning.

News

• 2026: I am honored to receive the 2026 Ernst A. Guillemin Thesis Award in Artificial Intelligence and Decision Making for my master’s thesis at MIT EECS.
• June 3-5, 2026: The papers on hypothesis testing with strategic agents were selected as highlights at FORC 2026. Looking forward to seeing you at Harvard University in June!
• April 10, 2026: I will give a lightning talk on “Hypothesis Testing in Multiagent Systems” in SDSCon 2026 at MIT.