Walid Krichene works at Google Research on large-scale optimization and recommendation. He received his Ph.D. in EECS in 2016 from U.C. Berkeley where he was advised by Alex Bayen and Peter Bartlett, a M.A. in Mathematics from UC Berkeley, and a M.S. in Engineering and Applied Math from the Ecole des Mines Paristech. He received a best paper award at KDD 2020, the Leon Chua Award and two outstanding instructor awards from U.C. Berkeley. His research interests include convex optimization, stochastic approximation, and recommender systems.