Frederic Sala is an assistant professor of computer sciences at the University of Wisconsin–Madison and chief scientist at Snorkel AI, blending academic research on the fundamentals of data-driven systems with practical leadership in data-first AI productization. With a Ph.D. from UCLA and a Stanford postdoc in the Hazy group, he brings eight years of research experience across machine learning, data systems, and applied signals work. His background includes industry research internships at JPL and Samsung and early engineering experience at Microsoft, giving him a strong track record of moving ideas from prototype to production. Known for bridging theoretical rigor and real-world impact, he focuses on scalable methods that reduce reliance on hand-labeled data and speed end-to-end ML deployment. An often-overlooked thread in his career is a consistent focus on data compression and memory-efficient representations, which informs his approach to large-scale, data-centric AI.
8 years of coding experience
10 years of employment as a software developer
BS, Electrical Engineering, BS, Electrical Engineering at University of Michigan
Doctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at University of California, Los Angeles
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Frederic Sala - Assistant Professor, Computer Sciences Department at University of Wisconsin-Madison