A. Feder Cooper
Assistant Professor, Yale 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'm recruiting for Fall 2027. If you're getting in touch about a Ph.D., postdoc, or collaboration, please include a few sentences about a research paper you found interesting and why (it doesn't need to be one where I'm an author). Please note that I'm receiving hundreds of emails about this, and won't be able to respond to all of them. I'm also unable to host or mentor high school students.
I'm an Assistant Professor of Computer Science at Yale University, where I'm 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. I'm also an Affiliate Researcher at Stanford and a Faculty Associate at the Berkman Klein Center for Internet & Society at Harvard University. My research has been awarded at conferences like NeurIPS, ICML, and COLM, and has been covered in outlets including The Atlantic, The New York Times, The Washington Post, and 404 Media. Work on copyright and generative AI has been called "somewhat famous" by the popular press.