Frederic Sala is an Assistant Professor in the Computer Sciences Department at the University of Wisconsin-Madison. His research studies the fundamentals of data-driven systems and machine learning, with a focus on foundation models, automated machine learning, learning with limited data, and geometric machine learning. Previously, he was a postdoctoral researcher at Stanford. He received his Ph.D. in electrical engineering from UCLA. He and his group received the best student paper runner-up award at UAI '22, the outstanding Ph.D. dissertation award from the UCLA Department of Electrical Engineering, the NSF Graduate Research Fellowship, and the Edward K. Rice Outstanding Masters Student Award from the UCLA Henry Samueli School of Engineering & Applied Science.