Scholar
A. Feder Cooper
Google Scholar ID: SCuVOk0AAAAJ
Stanford, Microsoft Research
Citations & Impact
Citations
1,773
H-index
19
i10-index
28
Publications
20
Co-authors
21
list available
Contact
Publications
Resume (English only)
Academic Achievements
- My research has received spotlights, orals, and best-paper accolades at top AI/ML and computing venues, including NeurIPS, ICML, AAAI, and AIES. Law collaborations on copyright and Generative AI have been lauded as 'landmark' work among technology law 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.
Research Experience
- In the past, I interned at Microsoft Research and at Google Research, and was named a 'Rising Star in EECS' by MIT. Prior to my research career, I worked for several years as a software engineer at companies both (really) big and (really) small. I specialized in designing, building, and monitoring large-scale backend data-processing systems.
Education
- My doctoral work was generously supported by the John T. and Catherine D. MacArthur Foundation through AIPP.
Background
- I research a variety of topics in reliable, scalable machine learning. I'm a co-founder of the GenLaw Center, a postdoctoral researcher at Microsoft Research, and 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.
Miscellany
- I am recruiting students for Fall 2026!
