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Frederic Sala is an Assistant Professor at the University of Wisconsin-Madison, specializing in data-driven systems with a focus on machine learning and particularly interested in data-efficient systems. His current research encompasses data-centric AI, foundation models, and automated machine learning. Sala serves as the Chief Scientist at Snorkel AI, where he develops a data-first approach to AI. Prior to his current role, he held a postdoctoral position at Stanford University in the Hazy group and completed his Ph.D. in electrical engineering at UCLA. His work has significantly contributed to building and refining data-centric systems, utilizing innovative benchmarks such as TPBench to advance AI model capabilities. Frederic's research interests lie in the intersection of AI and machine learning, especially in optimizing data for model training, employing advanced techniques in weak supervision and efficient annotation. He has been recognized with several awards, including the UW-Madison SACM Students' Choice Professor of the Year Award and the DARPA Young Faculty Award for his impactful contributions to the field of AI education and research.
University of Wisconsin-Madison • Madison, WI
Conducting research and teaching in the field of electrical engineering, particularly data-driven systems and machine learning.
Snorkel AI • N/A
Leading research initiatives focused on a data-first approach to AI.
Stanford University, Department of Computer Science • Stanford, CA
Engaged in research within the Hazy group.
Department: Department of Computer Sciences