A. Feder Cooper

Gates Hall
Department of Computer Science
Cornell University
afc78 [AT] cornell [DOT] edu

arxiv scholar
A. Feder Cooper

I am a Ph.D. candidate in Computer Science at Cornell University, where I study how to make more reliable conclusions when using machine learning (ML) methods in practice. My work focuses on empirically motivated, theoretically grounded problems in Bayesian inference, model selection, and deep learning. I also do associated tech policy and ethics research, which aims to characterize the relationship between reliability and accountability in AI/ML. I am a co-organizer of GenLaw, a community of researchers and practitioners interested in emerging issues at the interface of generative AI and the law (our first in-person workshop will be co-located with ICML '23), and am the leader of the arbitrar.ai project. During Summer 2022, I interned at Microsoft Research NYC. In 2021, I was named a "Rising Star in EECS" by MIT. I am a member of Cornell's initiative on Artificial Intelligence, Policy, and Practice (AIPP), which has very generously supported my work through funding from the John T. and Catherine D. MacArthur Foundation.

I am actively looking for a part-time job. If you are looking for a CS tutor, please don't hesitate to reach out.

Selected work