Patrick Jaillet

Patrick Jaillet is the Dugald C. Jackson Professor in the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology. His research focuses on online optimization and learning, machine learning, and sequential decision making under uncertainty. He is affiliated with the Resilient Systems & Mobility faculty and maintains a research website at https://web.mit.edu/jaillet/www/. His academic background includes a Diplôme d’Ingénieur from France, an MSc in Transportation from MIT, and a PhD in Operations Research from MIT. His teaching interests include algorithms, network science, probability, and mathematical programming.

Patrick Jaillet is a Dugald C. Jackson Professor in the Department of Electrical Engineering and Computer Science at MIT. His research focuses on algorithms, online optimization, learning, and operations research. His work addresses complex problems in dynamic systems, including routing, scheduling, and decision-making under uncertainty. He has published extensively on topics such as stochastic networks, real-time traffic sensing, and vehicle routing. His research also explores the intersection of machine learning and operations research, with applications in shared mobility, traffic prediction, and inventory routing. Jaillet's contributions span both theoretical and applied domains, emphasizing scalable solutions for large-scale systems.