Carole-Jean Wu is currently a Research Scientist and Technical Lead Manager at Meta AI / FAIR. She is a founding member and a Vice President of MLCommons – a non-profit organization that aims to accelerate machine learning innovations for the benefits of all. Dr. Wu also serves on the MLCommons Board as a Director, chaired the MLPerf Recommendation Benchmark Advisory Board, and co-chaired for MLPerf Inference. Prior to Meta/Facebook, She was an Associate Professor at ASU.
Dr. Wu’s expertise sits at the intersection of computer architecture and machine learning. Her work spans across datacenter infrastructures and edge systems, such as developing energy- and memory-efficient systems and microarchitectures, optimizing systems for machine learning execution at-scale, and designing learning-based approaches for system design and optimization. She is passionate about pathfinding and tackling system challenges to enable efficient and responsible AI technologies. Her work has been recognized with several awards, including IEEE Micro Top Picks and ACM / IEEE Best Paper Awards. In addition, her work has been featured at the MLPerf Inference v0.5 Launch and Results, MaskRCNN2Go for MLPerf, and from Understanding Computing’s Carbon Footprint to Designing Low-Carbon Computers of Tech @ Meta, and Bloomberg Green.
Dr. Wu is the recipient of NSF CAREER Award, CRA-WP Anita Borg Early Career Award Distinction of Honorable Mention, IEEE Young Engineer of the Year Award, Science Foundation Arizona Bisgrove Early Career Scholarship, Facebook AI Infrastructure Mentorship Award, and HPCA and IISWC Hall of Fame. She was the Program Co-Chair of the Conference on Machine Learning and Systems (MLSys), the Program Chair of the IEEE International Symposium on Workload Characterization (IISWC), and the Editor for the IEEE MICRO Special Issue on Environmentally Sustainable Computing. She received her M.A. and Ph.D. degrees in Electrical Engineering from Princeton University and the B.Sc. degree in Electrical and Computer Engineering from Cornell University.