Liangbin Yang

Liangbin Yang is an assistant professor of marketing at the Whitman School of Management. Her research interests concentrate on digital marketing and marketing analytics. She focuses on understanding the drivers of consumer behavior, forecasting consumer activities, and enhancing the capacity of managers to make better marketing decisions. Her research centers around several substantive areas, including targeting, advertising, customer acquisition, the effects of technology and AI, and the intersections of these areas. Methodologically, she primarily uses Bayesian statistics, machine learning, dynamic programming, applied econometrics, and causal inference. Her work has managerial applications in various industries, such as gaming and entertainment, retailing, digital platforms, etc. She earned B.S. and M.S. degrees from Peking University, and Ph.D. and M.S. degrees from the Wharton School, University of Pennsylvania.

Areas: Digital Marketing, Marketing Analytics
Substantive: Targeting, Advertising, Customer Acquisition, Effects of Technology and AI
Methodological: Bayesian Statistics, Machine Learning, Dynamic Programming,
Applied Econometrics, Causal Inference