I’m a Senior Researcher at Microsoft Research in the AI Interaction and Learning group, where I’m working on understanding what LLMs can do, based on observations of how people use them and theoretical modeling and experimentation. I’ve also worked on more broadly on preferences and decision-making using algorithmic and machine learning methods.

I completed my PhD in Computer Science at Cornell University, where I was fortunate to be advised by Jon Kleinberg. My dissertation was on human decision-making at the individual and collective level. During my PhD, I interned at Microsoft Research with Jennifer Neville on recommendations in networks and at Microsoft’s Office of Applied Research with Longqi Yang and Mengting Wan on multi-organization recommendation. In Winter and Spring 2023, I was a visiting instructor at Carleton College teaching Data Structures and Mathematics of Computer Science.

When away from my desk, I spend my time learning to fly, playing guitar, building 8-bit computers, playing video games, biking, listening to music, flying quadcopters, bouldering, and playing pool. I have additional interests in spaceflight, Premier League football, and Formula 1.

[High-res headshot] [CV of Failures]

Recent news

📝 Dec ‘25 Presented our paper on LLM problem-solving failures at NeurIPS ‘25.

🗣 Nov ‘25 Gave a plenary talk with my coauthor Sonia on our paper on what jobs AI may be useful for at the NABE Tech Economics Conference.

📝 Nov ‘25 Our paper on instant runoff voting exclusion zones was accepted to AAAI ‘26 as an oral!

✨ Sep ‘25 Our paper on LLM problem-solving failures was accepted to NeurIPS ‘25 as a spotlight!

🗣 Sep ‘25 Gave a talk on AI applicability to work at the Wharton Business & Generative AI Conference.

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