Mike Mingcheng Wei

Dr. Mike Mingcheng Wei is an Associate Professor of Operations Management at the School of Management, University at Buffalo. He specializes in optimizing business operations through advanced analytical methods, with a focus on supply chain management, revenue management, and machine learning applications. His research bridges theoretical models and real-world decision-making challenges in dynamic pricing, consumer behavior analysis, and transportation networks.

Dr. Wei holds a PhD from Washington University in St. Louis, an MS from Pennsylvania State University, and a BBA from Fudan University in China. His academic journey reflects expertise in both quantitative methodologies and practical operational strategies.

His research interests span multiple domains: (1) Supply Chain Innovation - developing responsive pricing strategies for fashion products and C2C marketplaces; (2) Machine Learning Applications - advancing algorithms for high-dimensional data analysis and online decision-making; (3) Transportation Networks - exploring congestion pricing mechanisms and traffic bottleneck solutions through financial derivatives. His work frequently integrates game theory, stochastic modeling, and big data analytics.

Professional memberships include INFORMS, MSOM, POMS, and DSI, reflecting his engagement with leading operations research communities. His research has been published in top-tier journals like Management Science and Transportation Research Part B, as well as conferences such as ICML.

Dr. Wei’s office is located at 326C Jacobs Management Center, Buffalo, NY, where he advises students on operations and strategy topics. Though no specific grants or labs are highlighted in the provided text, his work demonstrates a commitment to advancing analytical frameworks for contemporary business challenges.