A. Feder Cooper
Incoming Assistant Professor, Yale University · Research Scientist, AVERI · Postdoctoral Affiliate, Stanford University
I research a variety of topics in reliable, scalable machine learning. My contributions span privacy, security, and evaluation of generative-AI systems, MLSys, and uncertainty estimation. I also do work in tech policy and law, and spend a lot of time finding ways to effectively communicate the capabilities and limits of AI/ML to interdisciplinary audiences and the public.
I am recruiting Ph.D. students for Fall 2027
I'm a research scientist on the founding team at the AI Verification and Evaluation Research Institute (AVERI). I'm a postdoctoral affiliate at Stanford HAI, RegLab, and CRFM working with Percy Liang and Dan Ho. I am also a Faculty Associate at the Berkman Klein Center for Internet & Society at Harvard University. In 2026, I'll be appointed as an Assistant Professor of Computer Science at Yale University. I'll also be affiliated with the Information Society Project at Yale Law School, the Center for Algorithms, Data, and Market Design, and the Institute for Foundations of Data Science.
My research has received spotlights, orals, and best-paper accolades at top AI/ML and computing venues, including NeurIPS, ICML, AAAI, and AIES. Work on copyright and Generative AI has been lauded as “landmark” work among scholars and the popular press. My research has been covered in the media at outlets such as The Atlantic, The Washington Post, Bloomberg News, 404 Media, and Wired.