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Alexandre Jacquillat is the Maurice F. Strong Career Development Associate Professor at MIT Sloan School of Management, where he specializes in Operations Research and Statistics. His research focuses on data-driven decision-making, including stochastic optimization, integer optimization, and large-scale optimization. He develops scalable optimization models and algorithms that support efficient, equitable, and sustainable operations, particularly in air traffic management, urban mobility, and responsible supply chains with social good applications. Jacquillat has received multiple research awards, including the INFORMS Donald P. Gaver, Jr. Early Career Award and the Harold W. Kuhn Award. He is recognized as an award-winning educator, receiving accolades such as the MIT Jamieson Prize for Excellence in Teaching. His prior experience includes serving as an Assistant Professor at Carnegie Mellon University’s Heinz College and working with McKinsey & Co. and Booz Allen Hamilton, where he provided insights on transportation analytics. Jacquillat holds a PhD in Engineering from MIT and master's degrees in Technology and Policy and Applied Mathematics from MIT and École Polytechnique, respectively.
MIT Sloan School of Management • Cambridge, MA
Teaching and researching in Operations Research and Statistics.
Carnegie Mellon University’s Heinz College • Pittsburgh, PA
Teaching in the field of Operations Research and Public Policy.