Carole-Jean Wu

Carole-Jean Wu is a Research Scientist at Facebook’s AI Research. Carole’s research focuses in the area of Computer and System Architectures, in particular, on designing high-performance and energy-efficient computer systems through domain-specific architectures, heterogeneity-aware optimization, energy harvesting techniques, temperature and energy management for portable electronics, and memory subsystem design and optimization. More recently, Carole-Jean’s research has pivoted into designing systems for machine learning execution at-scale, such as for personalized recommender systems and mobile deployment. She chairs the MLPerf Recommendation Benchmark Advisory Board and co-chairs MLPerf Inference, a multi-industry benchmarking consortium for machine learning. She completed her M.A. and Ph.D. degrees from Princeton University and received a B.Sc. degree from Cornell University. She is the recipient of the NSF CAREER Award, Facebook AI Infrastructure Mentorship Award, the IEEE Young Engineer of the Year Award, the Science Foundation Arizona Bisgrove Early Career Scholarship, and the Intel PhD Fellowship, among a number of Best Paper awards.