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, decarbonization, and other social good applications.

Alexandre is the recipient of several research awards, including the Harvey Greenberg Research Award from INFORMS Computing (2023), the Best Paper Award from the INFORMS Transportation Science and Logistics Society (2017, 2021), the Pierskalla Best Paper Award from INFORMS Health Applications (2020), the Best Applied Paper Award from INFORMS Data Mining and Decision Analytics (2020), and the George B. Dantzig Dissertation Award from INFORMS (2015). He is also an award-winning educator, recognized notably by the 2020 Teaching with Digital Technology Award from MIT and the 2023 MIT Jamieson Prize for Excellence in Teaching. He was named in the list of Leading Academic Data Leaders from the Chief Data Officer Magazine in 2021 and 2022. 

Prior to joining MIT, Alexandre was an Assistant Professor of Operations Research and Public Policy at Carnegie Mellon University’s Heinz College. Alexandre 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.