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I am a 3rd year CS PhD student at MIT CSAIL, co-advised by Pulkit Agrawal and Julie Shah. I previously 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 the RL and cognitive science communities.

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 at 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

  • Ph.D. Computer Science, 2020 -

    Massachusetts Institute of Technology

  • B.S. Cognitive Science, 2018

    Yale University

  • B.A. Global Affairs, 2018

    Yale University

People Financially Invested in My Future

  • NSF Graduate Research Fellowship
  • Truman Scholarship
  • My parents

Publications

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Aligning Robot Representations with Humans
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
Human-Machine Collaboration for Fast Land Cover Mapping
An Integrated Machine Learning Approach To Studying Terrorism
Conceptual Feasibility Study of the Hyperloop Vehicle for Next-Generation Transport
Early Detection of Boko Haram Attacks in Nigeria