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A. Feder Cooper is a Ph.D. candidate in Computer Science at Cornell University, studying how to make more reliable and trustworthy conclusions when using machine learning (ML) methods in practice. Cooper's work spans topics in uncertainty estimation, model selection, deep learning, and generative AI, as well as associated questions in tech policy and computing ethics. This work is frequently awarded at top ML and interdisciplinary computing venues. Cooper is a lead co-organizer of GenLaw, a community of researchers and practitioners interested in emerging issues at the interface of generative AI and law. During Summer 2022, Cooper interned at Microsoft Research and, in 2021, was named a "Rising Star in EECS" by MIT. Cooper is also a member of Cornell's initiative on Artificial Intelligence, Policy, and Practice (AIPP), which has very generously supported Cooper's research through funding from the John T. and Catherine D. MacArthur Foundation.