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Michael Jong Kim is an Associate Professor at the UBC Sauder School of Business, specializing in Operations and Logistics. He holds a Bachelor of Applied Science and a Master of Mathematics from the University of Toronto, and completed his PhD at the same institution. His research interests focus on Dynamic Programming, Statistical Learning, Robust Optimization, and the Exploration versus Exploitation trade-offs. Over the years, he has made significant contributions to the field through multiple publications in reputable journals such as Operations Research and Management Science, highlighting methodologies and advancements in inventory control, stochastic control, and optimization techniques. His work is characterized by a data-driven approach that often incorporates Bayesian methods for improved decision-making in complex environments. In the academic year 2025-2026, Professor Kim is set to teach courses in Descriptive and Predictive Business Analytics as part of the Master of Business Analytics program.
UBC Sauder School of Business • Vancouver, BC, Canada
Teaching and conducting research in the field of Operations Management.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.