Wei’s research applies causal machine learning, structural modeling, and field experiment methods to investigate substantive issues in the area of sharing economy, platform economy, and industrial organization. In particular, his research explores the effects of different pricing schemes (such as surge pricing and flat-rate pricing) and dispatch systems (bidding versus allocation) on ridesharing markets. He also studies optimal platform designs, such as the landing page design and platform leakage prevention. His research has been published in leading academic journals, including the Journal of Operations Management and Transportation Research Part A.