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Carole-Jean Wu
Research Scientist at Facebook
Carole-Jean Wu is a prominent figure in the field of computer system architecture, with a particular focus on energy- and memory-efficient systems. Her current research is centered on designing systems for large-scale machine learning applications, including personalized recommender systems and mobile deployment. Carole-Jean plays a key role in the MLPerf Recommendation Benchmark Advisory Board and co-chairs MLPerf Inference. She holds a tenured position at Arizona State University and has a rich academic background, having earned her M.A. and Ph.D. from Princeton University and her B.S. from Cornell University. Carole-Jean has been recognized with several prestigious awards, such as the NSF CAREER Award, Facebook AI Infrastructure Mentorship Award, IEEE Young Engineer of the Year Award, Science Foundation Arizona Bisgrove Early Career Scholarship, Intel PhD Fellowship, and numerous Best Paper awards.
