I am a 3rd year CS PhD student at MIT CSAIL advised by Julie Shah, who co-advised my M.S. with Pulkit Agrawal. I spent a summer at Meta AI and two years as an AI Resident at Microsoft Research. I did my undergrad at Yale, where I played with robots with Brian Scassellati and read a lot of dead philosophers.
I’m interested in building agents that learn continuously from and with humans. To that end, I spend a lot of time thinking about how to align algorithmic representations with humans’, whether that be through designing novel learning algorithms or questioning the theoretical foundations of agency, goals, and planning. I get most excited by work that unifies RL, robotics, and cognitive science.
A history buff at heart, I care deeply about creating a world where AI is used safely, ethically, and equitably. I prioritize connecting with non-academic communities, and have worked at the White House Office of Science and Technology Policy (OSTP) and Schmidt Futures on AI policy. 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