Joren Gijsbrechts is an Associate Professor of Operations Management at Esade Business School. Before earning his Ph.D. from KU Leuven in 2020, he gained industry experience in the Supply Chain and Operations division of Procter & Gamble in Sweden, and he has since held visiting positions at Kellogg School of Management and MIT Sloan.

His research designs algorithms that turn complex datasets into actionable operational decisions, combining deep reinforcement learning, robust optimization, and large-scale simulation. Recent work has appeared in Management Science, Manufacturing & Service Operations Management, Production and Operations Management, and the Proceedings of the International Conference on Machine Learning, addressing problems ranging from dual sourcing and reshoring to inventory control in multi-echelon networks and the energy footprint of agentic AI workflows.

His models have helped firms in consumer goods, telecommunications, and online retail improve their decision making. Alongside his research, he delivers tailored talks and executive workshops on AI, analytics, and Supply Chain 4.0.