Jeffrey Yau

Jeffrey is the Vice President and Head of Data Science at Silicon Valley Data Science, where he leads a team of Ph.D. data scientists helping companies transform their businesses using emerging technology and advanced data science techniques. He is also a faculty member of the UC Berkeley Master in Information and Data Science program, where he designed, developed, and taught the advanced statistics course. Jeffrey has 15+ years of experience in applying a wide range of econometric and other data science techniques to create analytic, predictive, and prescriptive solutions for businesses, especially those in the financial service industry. He has expertise in combining high performance computing and big data technology to analyze massive databases to generate analytic insights for strategic decision making. Prior to SVDS, Jeffrey held various positions, including the Head of Risk Analytics at Charles Schwab Corporation, Director of Financial Risk Management Consulting at KPMG, Assistant Director at Moody’s Analytics, and Assistant Professor of Economics at Virginia Tech. Jeffrey holds a Ph.D. and an M.A. in Economics from the University of Pennsylvania and a B.S. in Mathematics and Economics from UCLA.