| CARVIEW |
I am a Research Scientist at Anthropic working on RL and post-training of large models. I was formerly a PhD student at MIT CSAIL advised by Jacob Andreas and Julie Shah. I’ve spent summers at Facebook AI Research (FAIR), Boston Dynamics AI Institute, MIT-IBM Watson AI Lab, 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.
email | cv | google scholar | twitter | linkedin
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
People Financially Invested in My Future
- Open Philanthropy
- NSF Graduate Research Fellowship
- Truman Scholarship
- My parents
Recent News
[Nov 2024] Attending CoRL! I’ll be presenting Adaptive Language-Guided Abstraction from Contrastive Explanations in the main conference.
[Aug 2024] I am taking leave from MIT to lead national security evaluations on the Frontier Red Team at Anthropic.
[Aug 2024] Attending RLC! I’ll be presenting Pragmatic Feature Preferences in the RL Beyond Rewards Workshop.
[Jul 2024] Attending ICML! I’ll be presenting Pragmatic Feature Preferences in the main conference. I’ll also be attending the Alignment Workshop beforehand.
[Jul 2024] Attending RSS! I’m honored to be part of the 2024 RSS Pioneers cohort, as well as help organize the Social Intelligence in Humans and Robots Workshop and the Task Specification Workshop.
[May 2024] I started at Anthropic! I’ll be working to help make big models safer.
Publications
RSS Workshop on Social Intelligence in Humans and Robots, 2023 (oral)
ICRA Workshop on Collaborative Robots and Work of the Future, 2022
RSS Workshop on Social Intelligence in Humans and Robot, 2022
NeurIPS Workshop on ML Safety, 2022
ICLR Workshop on LLM Agents, 2024
NeurIPS Workshop on Human in the Loop Learning, 2022
CHI Workshop on Trust and Reliance on AI-Human Teams, 2020 (oral)
NeurIPS Workshop on Tackling Climate Change with Machine Learning, 2019
ICLR Workshop on Tackling Climate Change with Machine Learning, 2020