Jeffrey Yau, PhD
Dr. Yau is an Entrepreneur in Residence (“EIR”) with BioStar, and an expert in digital health, artificial intelligence, and data science. He was formerly VP of data science, data engineering and platform engineering at Walmart’s global technology division. Prior to Walmart, Jeffrey was the Global Head of Data Science at AllianceBernstein, a global investment management and research firm that managed over $500 billion, where he built the data science and engineering team and was responsible for the enterprise-wide data science initiatives. This included developing natural language processing and machine learning algorithms to generate investment signals, using machine learning to predict at-risk-of-attrition high net-worth retail clients, and building a data science program to train internal quantitative analysts and developers. Prior to AllianceBernstein, Jeffrey was the VP and Head of Data Science at Silicon Valley Data Science, a boutique data science and engineering consulting firm, where he led a team of Ph.D. computer scientists, statisticians, and other scientists helping global companies, such as Nike to transform their businesses using A.I. techniques and modern data technology. SVDS was acquired by Apple at the end of 2017. Prior to SVDS, Jeffrey held various data science leadership positions, including the Head of Quantitative Research and Risk Analytics at Charles Schwab Corporation, Director of Financial Risk Consulting at KPMG, Assistant Director at Moody’s Analytics, and Assistant Professor of Economics at Virginia Tech. Jeffrey has been very active in the data science community and has taught machine learning and advanced statistics at UC Berkeley’s Master of Data Science Program, Cornell’s Master of Financial Engineering Program, and NYU’s Master of Technology Leadership Program. He holds a Ph.D. and an M.A. in Economics (with a focus on econometrics) from the University of Pennsylvania and a B.S. in Mathematics and Economics from UCLA.