Yi-Chun Akchen

Yi-Chun Akchen is an Assistant Professor at the UCL School of Management, University College London. His research develops data-driven models and algorithms to understand customer choice and guide complex decision-making in retail and platform operations. His work draws on optimization and machine learning, with applications in assortment and inventory planning. Yi-Chun received his Ph.D. in Management from the University of California Los Angeles (UCLA), M.S. in Computational and Applied Math from Stanford University, and B.S. in Physics from National Taiwan University.

Yi-Chun Akchen is an Assistant Professor at University College London, specializing in Choice Modeling, Revenue Management, and Optimization. Her research explores decision-making processes through models that capture irrational choice behavior, such as decision forests, and applies these insights to assortment optimization and inventory planning. She investigates how consideration sets influence consumer choices and develops algorithms for efficient resource allocation. Her work also includes deep reinforcement learning for multi-agent decision processes and methods for improving offline value-function approximations in dynamic environments. Her research bridges theoretical models with practical applications in operations and data-driven decision-making.