How to build an effective analytics practice
From designing intelligent decision processes to tapping the full power of deep learning, here are data practices to adopt now from MIT Sloan analytics faculty.
Faculty
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 develops scalable optimization models and algorithms to support more efficient, equitable, and sustainable operations—with a particular interest in air traffic management, urban mobility, logistics 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 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.
Featured Publication
"Routing Optimization with Vehicle-Customer Coordination."Zhang, Wei, Alexandre Jacquillat, Kai Wang, and Shuaian Wang. Management Science Vol. 69, No. 11 (2023): 6876-6897. SSRN Preprint.
Featured Publication
"Vertiport Planning for Urban Aerial Mobility: An Adaptive Discretization Approach."Wang, Kai, Alexandre Jacquillat, and Vikrant Vaze. Manufacturing and Service Operations Management. Forthcoming. Supplemental Materials.
Jacquillat, Alexandre, Michael Lingzhi Li, Martin Ramé, and Kai Wang. Operations Reseach. Forthcoming. arXiv Preprint.
Wang, Kai, and Alexandre Jacquillat. Operations Research. Forthcoming.
Blanchard, Moïse, Alexandre Jacquillat, and Patrick Jaillet. Mathematics of Operations Research Vol. 49, No. 2 (2024): 653-1302. arXiv Preprint. Supplemental Material.
Wang, Kai, Mehmet Aydemir, and Alexandre Jacquillat. INFORMS Journal on Optimization Vol. 6, No. 2 (2024): 84-117.
From designing intelligent decision processes to tapping the full power of deep learning, here are data practices to adopt now from MIT Sloan analytics faculty.
Distance learning is now standard, whether hybrid or fully online. Here’s how to excel at remote teaching, according to five MIT Sloan faculty members.