Hao Zhang

Hao Zhang is an Associate Professor in the Operations and Logistics Division at The University of British Columbia Sauder School of Business. His research focuses on stochastic games, dynamic principal-agent problems, information asymmetry, and incentive problems in operations management. He also explores partially observable Markov decision processes, machine learning, reinforcement learning, and applications in supply-chain management, revenue management, and healthcare management. Zhang's work includes publications in top-tier journals such as Management Science and Operations Research. He teaches courses on uncertainty analysis, decision analysis, and stochastic models at the undergraduate and graduate levels.

Hao Zhang is an Associate Professor of Operations & Logistics at the University of British Columbia, specializing in Operations Management, Supply Chain Management, Game Theory, and Markov Decision Processes. His research explores strategic interactions and decision-making under uncertainty in supply chains, focusing on revenue sharing, information leakage, and dynamic contract design. Zhang's work also addresses principal-agent models, adverse selection, and partially observable Markov decision processes. His publications analyze how information asymmetry affects supply chain performance and how to design contracts that incentivize truthful behavior and efficient resource allocation. His research contributes to both theoretical advancements and practical applications in operations and logistics.