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Jun Li

Associate Professor of Technology and Operations

Michael R. and Mary Kay Hallman Fellow

I am an Associate Professor of Technology and Operations at Stephen M. Ross School of Business, University of Michigan. I conduct research in empirical operations management and business analytics. My research are primarily concerned with measuring consumer behaviors, understanding and developing complex yield management and pricing systems in various service industries, air-travel, hospitality, retailing, sharing economy and urban transportation. I have worked closely with airlines, hotels, and retailers to analyze consumer data and implement new pricing strategies. I won the INFORMS Revenue Management and Pricing Practice Award for implementing competition-based dynamic pricing in online retailing. My research also expands into supply chain risk management as well as patient centric healthcare management. I am the Principal Investigator of a National Science Foundation funded research "Gaining Visibility Into Supply Network Risks with Large-Scale Textual Analysis". I specialize in conducting causal inferences and structural estimation (integrating economic modeling with statistical inferences). More recently, I have also worked on studies integrating causal inference methods with machine learning methods (LASSO and decision trees). My research has won several best paper awards and enjoyed coverage by The Economist, New York Times, CNN, Forbes, CCTV (China Central Television) and The Globe and Mail (Canada's most widely read newspaper).

I hold a Ph.D. in Managerial Economics and Management Science from the Wharton School, University of Pennsylvania, and a Bachelor in Operations Research and Industrial Engineering from Tsinghua University, China.