Yang is a Principal Economist at Amazon where he works on problems related to ad sales by applying causal inference and machine learning methods.
Previously, Yang held tenure track appointments in the marketing departments of Temple University and University of Texas at El Paso and received his PhD training at Rice University. Yang’s academic research has appeared in leading journals, including Journal of Marketing Research, Marketing Science, and Strategic Management Journal. His primary research interests lie at the intersection of marketing, information systems, and industrial organization. Methodologically, Yang is experienced in causal inference with observational (big) data, social science applications of machine learning, and applied game theory. Yang continues to contribute to the academic marketing community as an unaffiliated researcher and an ad hoc reviewer for academic journals.
Dr. Yang Wang 