Dr. Matthias Winkenbach is a Principal Research Scientist at the Massachusetts Institute of Technology (MIT) and Director of Research at the MIT Center for Transportation & Logistics, where he leads strategic research initiatives spanning supply chain innovation, logistics optimization, and intelligent automation. As founder and director of both the MIT Intelligent Logistics Systems (ILS) Lab and the MIT Computational Analytics, Visualization, and Education (CAVE) Lab, he pioneers the integration of advanced analytics with human-centered design to transform how organizations plan, operate, and optimize their supply chains.
Dr. Winkenbach's research explores the intersection of operations research, artificial intelligence, and human decision-making to address complex logistics challenges across industries. Through the ILS Lab, his team develops AI and machine learning enabled solutions that enhance efficiency, sustainability, and resilience in global logistics systems — from last-mile delivery networks to automated warehouses. The CAVE Lab complements this work by creating interactive visual interfaces that make sophisticated analytics accessible to practitioners, bridging the gap between computational power and practical decision-making.
With extensive experience collaborating with global companies across retail, e-commerce, logistics services, and automation technology sectors, Dr. Winkenbach brings both academic rigor and real-world insights to his research. His work spans strategic logistics network design, optimization for tactical supply chain planning problems, and the development of learning-based systems that adapt to dynamic operational environments. He holds a Ph.D. in Logistics and a Master's in Business from WHU – Otto Beisheim School of Management, and his contributions have been recognized with the Science Award for Supply Chain Management from the German Logistics Association and the Transportation Science Meritorious Service Award.
