Alexandre Jacquillat

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Alexandre Jacquillat

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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, and machine learning. In particular, his research aims to develop scalable algorithms and decision-making tools to support more efficient, equitable, and sustainable operations in transportation and logistics—with a particular interest in air traffic management, on-demand microtransit in urban mobility, and collaborative logistics.

Alexandre is the recipient of several research awards, including the Best Paper Award from the INFORMS Transportation Science and Logistics Society (2017, 2021), the George B. Dantzig Dissertation Award from INFORMS (2015), the Best Dissertation Award from the INFORMS Transportation and Logistics Society (2015), and the L.E. Rivot Medal from the French Academy of Science. 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 systems from MIT, a Master of Science in technology and policy from MIT, and a Master of Science in applied mathematics from the École Polytechnique.

Honors

Jacquillat is honored twice

November 17, 2023

Jacquillat named co-winner of Jamieson Prize

Jacquillat wins teaching award

Bertsimas and Jacquillat win Pierskalla Best Paper Award

Publications

"Branch-and-Price for Prescriptive Contagion Analytics."

Jacquillat, Alexandre, Michael Lingzhi Li, Martin Ramé, and Kai Wang. Operations Reseach. Forthcoming. arXiv Preprint.

"Integrated Scheduling Interventions and Flow Management in Air Transportation Networks."

Wang, Kai, and Alexandre Jacquillat. Operations Research. Forthcoming.

"Probabilistic bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem."

Blanchard, Moïse, Alexandre Jacquillat, and Patrick Jaillet. Mathematics of Operations Research Vol. 49, No. 2 (2024): 653-1302. arXiv Preprint. Supplemental Material.

"Scenario-Based Robust Optimization for Two-Stage Decision Making Under Binary Uncertainty."

Wang, Kai, Mehmet Aydemir, and Alexandre Jacquillat. INFORMS Journal on Optimization Vol. 6, No. 2 (2024): 84-117.

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