B.S. in Industrial Engineering at Tsinghua University
Methodologies: Online Learning Algorithms, Approximation Algorithms
Applications: Supply Chain Management, Revenue Management, Service Systems
Jingwen Tang a fifth-year Ph.D. candidate at the Department of Industrial and Operations Engineering (IOE) at the University of Michigan, Ann Arbor advised by Professor Cong Shi. Her research interests lie broadly in learning algorithms and data-driven optimization. Specific topics include sequential decision-making under uncertainty and online and offline learning algorithms, especially their applications in supply chain management and revenue management.
Graduate Student Coordinator