Dr. William Wu studied EECS at Berkeley, followed by an M.S. in mathematics and Ph.D. in EE at Stanford. Trained both as a researcher and an engineer, he has +12 years of experience in building novel scientific computing solutions for organizations with complex data needs, including computer vision and NLP startups, bioinformatics research centers, and NASA JPL. Today he directs QED’s mission to amplify knowledge and information transparency in developing countries. He is passionate about all things clever and strives to build cultures of innovation that are both practical and sustainable.
Dr. Jiehua Chen (“JC”) received her B.Sc. in Math and Physics from Tsinghua summa cum laude, followed by an M.S. in Economics and 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. She has been working on development projects since 2008 and is passionate about finding proofs for problems that matter for all people, particularly in agriculture and human health.