I am a Research Scientist at Anthropic and PhD student at MIT CSAIL (on leave) advised by Jacob Andreas and Julie Shah. I’ve spent summers at the Boston Dynamics AI Institute, MIT-IBM Watson AI Lab, Facebook AI Research (FAIR), and before grad school, two years as an AI Resident at Microsoft Research. I did my undergrad at Yale, where I got my start in research with Brian Scassellati and read a lot of dead philosophers.
I’m interested in building agents that learn representations from rich human knowledge, whether directly (e.g. from users) or through priors (e.g. from LMs). Currently, I’m thinking a lot about how to utilize pretrained models in conjunction with human feedback to interactively learn aligned preferences/rewards.
A history buff at heart, I care deeply about working with non-academic communities to create safe, ethical, and equitable AI. I currently serve as a Special Government Employee for the Defense Innovation Unit (DIU). In a previous life, I worked at the White House Office of Science and Technology Policy (OSTP), National Institute of Standards and Technology (NIST), and Schmidt Futures. I also serve on the advisory board of the Yale Jackson School of Global Affairs, where I co-teach a course on AI for policymakers.
I love being outdoors, even in the brutal Boston winters. A current goal is to run a sub-3:00 marathon (this is how I’m doing). Reach out to chat about research, policy, or running! Preferred subject line: Your cat is dope.
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Education
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Ph.D. Computer Science, 2023 -
Massachusetts Institute of Technology
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M.S. Computer Science, 2023
Massachusetts Institute of Technology
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B.S. Cognitive Science, 2018
Yale University
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B.A. Global Affairs, 2018
Yale University
Ph.D. Computer Science, 2023 -
Massachusetts Institute of Technology
M.S. Computer Science, 2023
Massachusetts Institute of Technology
B.S. Cognitive Science, 2018
Yale University
B.A. Global Affairs, 2018
Yale University