Dr. William Wu studied EECS at Berkeley as an undergraduate, followed by a master’s degree in mathematics and doctoral studies in EE at Stanford. Having been trained both as a researcher and as an engineer, he has developed a broad range of research interests about all things clever, including efficient algorithms, computer vision, NLP, and recreational puzzles, and has helped many companies achieve their MVPs for R&D projects.
Dr. Jiehua Chen (“JC”) received her B.Sc. degree in Mathematics and Physics from Tsinghua, summa cum laude, followed by the M.S. in Economics and the Ph.D. in Statistics at Stanford. She has extensive experience in spatial-temporal statistics, randomized experiment design, and juxtaposing modern machine learning methods with more traditional statistical models.