Regular biography
Mengzhenyu (Zhenyu) Zhang is an assistant professor in Operations & Technology at the UCL School of Management. She graduated from the Stephen M. Ross School of Business, University of Michigan, where she obtained her PhD in Technology and Operations. Her research interests include revenue management and supply chain management problems with the added complexity of sophisticated information structures in market demand. She combines tools from Operations Research and information economics to study business problems in a data-rich world. Her work has been published in journals such as Operations Research and Production and Operations Management, and she has several ongoing projects under review.
Scholar-generated biography
Mengzhenyu Zhang is a researcher at University College London with expertise in revenue management, information design, and stochastic models. Their work explores pricing strategies, capacity allocation, and decision-making under uncertainty. Zhang's research includes data-driven pricing, collaboration in capacity investment, and the impact of information revelation on consumer behavior. They also investigate attribute-based pricing, social learning, and dynamic information design. Their publications highlight the interplay between pricing and information policies, as well as the challenges of non-stationarity and dependency in revenue management. Zhang's contributions focus on developing novel formulations and algorithms for complex decision-making problems in business and operations.