Alexandre Jacquillat

Alexandre Jacquillat is the Maurice F. Strong Career Development Associate Professor and an Associate Professor of Operations Research and Statistics at the MIT Sloan School of Management. His research focuses on data-driven decision-making, spanning stochastic optimization, integer optimization, large-scale optimization, and machine learning. In particular, his research develops scalable optimization models and algorithms to support more efficient, equitable, and sustainable operations—with a particular interest in air traffic management, urban mobility, responsible supply chains, and other social good applications. Prior to joining MIT, Alexandre was an Assistant Professor of Operations Research and Public Policy at Carnegie Mellon University’s Heinz College. He also worked with McKinsey & Co. and Booz Allen Hamilton, advising leading companies and governmental organizations in transportation analytics. He holds a PhD in engineering from MIT, a Master of Science in technology and policy from MIT, and a Master of Science in applied mathematics from the École Polytechnique.

Alexandre Jacquillat is an Associate Professor at the MIT Sloan School of Management, Operations Research Center, specializing in operations research with a focus on large-scale optimization, transportation, and logistics. His research addresses complex challenges in airport operations, airline networks, and urban mobility, emphasizing the integration of data-driven methods for real-world impact. Jacquillat's work includes optimizing airport slot allocation, managing disruptions in airline networks, and improving transit planning under competitive and congested conditions. His research bridges operations research and economics to enhance efficiency and equity in transportation systems, contributing to social good through practical applications in aviation and urban mobility.