{"id":12,"date":"2019-06-06T18:39:02","date_gmt":"2019-06-06T18:39:02","guid":{"rendered":"http:\/\/mitmgmtfaculty.mit.edu\/ajacquillat\/about\/"},"modified":"2023-01-04T14:37:04","modified_gmt":"2023-01-04T14:37:04","slug":"about","status":"publish","type":"page","link":"https:\/\/mitmgmtfaculty.mit.edu\/ajacquillat\/about\/","title":{"rendered":"About"},"content":{"rendered":"

Biography<\/h2>\n
\n

Alexandre Jacquillat is the Maurice F. Strong Career Development Associate Professor<\/em> and an Associate Professor of Operations Research and Statistics at the MIT Sloan School of Management. <\/span><\/p>\n

 <\/span><\/p>\n

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.<\/span><\/p>\n

 <\/span><\/p>\n

Alexandre is the recipient of several research awards, including the INFORMS Donald P. Gaver, Jr. Early Career Award for Excellence in Operations Research (2025), the Harold W. Kuhn Award (2024), the Harvey Greenberg Research Award from the INFORMS Computing Society (2023), the Best Paper Award from the INFORMS Transportation Science and Logistics Society (2017, 2021, and runner-up in 2025), 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 <\/em>in 2021 and 2022. <\/span><\/p>\n

 <\/span><\/p>\n

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. <\/span>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.<\/span><\/p> <\/div>\n <\/span>Download CV<\/i><\/a><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

Biography 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 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-two-column.php","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"class_list":["post-12","page","type-page","status-publish","hentry"],"yoast_head":"\nMIT Sloan Faculty: Alexandre Jacquillat | About<\/title>\n<meta name=\"description\" content=\"Alexandre Jacquillat is an Assistant Professor of Operations Research and Statistics at the MIT Sloan School of Management.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mitmgmtfaculty.mit.edu\/ajacquillat\/about\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" 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