Summary
Song Yao is an economist and marketing scholar who bridges academic rigor with industry-scale problem solving as Chair of the Marketing Area and Professor of Marketing at Washington University in St. Louis and as an Amazon Scholar. With 11 years of experience in academia and industry, he applies empirical industrial organization, econometrics, and machine learning to questions in advertising, pricing, retailing, and the business–public policy interface. He previously served as Principal Economist for Amazon Core AI/SEAS, collaborating with ML engineers and data scientists to build scalable solutions for retail and storefront economics. His work is notable for translating advanced causal and predictive methods into actionable business decisions, and for navigating both top-tier academic institutions and high-impact industry research environments. Trained at Duke and UCLA with roots in Renmin University, he brings a global perspective to applied economic research.
11 years of coding experience
14 years of employment as a software developer
PhD, Business Administration, Marketing, PhD, Business Administration, Marketing at Duke University - The Fuqua School of Business
BA, Economics, BA, Economics at Renmin University of China
University of California, Los Angeles