A. Feder Cooper


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

arxiv scholar
A. Feder Cooper

I'm on the job market! Applying to tenure-track academic positions and industry research roles. Please reach out if you think there's a good fit!

Recent and upcoming (job) talks

I am a scalable machine-learning (ML) researcher, working on reliable measurement and evaluation of ML. I am a CS Ph.D. candidate at Cornell University, an Affiliate at the Berkman Klein Center for Internet & Society at Harvard University, a lead organizer of GenLaw, and a student researcher at Google Research.

My research develops nuanced quality metrics for ML behaviors, and makes sure that we can effectively measure these metrics at scale and in practice. My contributions span distributed training, hyperparameter optimization, uncertainty estimation, model selection, and generative AI. To make sure that our evaluation metrics can meaningfully measure our goals for ML, I also lead collaborations in tech policy and law, and spend a lot of time working to effectively communicate the capabilities and limits of AI/ML to the broader public.

In the past I interned at Microsoft Research and was named a "Rising Star in EECS" by MIT. My work has been generously supported by the John T. and Catherine D. MacArthur Foundation through Cornell AIPP.

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.


Selected work

*Equal contribution; full list available here