Alexandre Jacquillat

Alexandre Jacquillat is the Maurice F. Strong Career Development Associate Professor and Associate Professor of Operations Research and Statistics at MIT Sloan School of Management. His research focuses on data-driven decision-making with applications in air traffic management, urban mobility, and decarbonization. He holds a PhD in Engineering and MS degrees from MIT and École Polytechnique.

Education

• PhD in Engineering, MIT
• MS in Technology and Policy, MIT
• MS in Applied Mathematics, École Polytechnique

Research Interests

His work develops scalable optimization models for efficient, equitable, and sustainable operations. Key areas include stochastic optimization, large-scale systems design, and machine learning applications in transportation and public policy. Recent projects explore vertiport planning for urban aerial mobility and prescriptive analytics for pandemic response.

Awards

• Harold W. Kuhn Award (2024)
• INFORMS Harvey Greenberg Research Award (2023)
• MIT Jamieson Prize for Excellence in Teaching (2023)
• Multiple INFORMS Best Paper Awards (2015-2023)
• Named Leading Academic Data Leader by Chief Data Officer Magazine (2021-2022)

Teaching & Grants

Teaches courses in optimization (15.093, 15.083) and analytics (15.072). His grants support work in robotic warehousing, air traffic scheduling, and disaster response logistics. Advises on transportation analytics for industry and government.

Labs/Teams

Leads MIT Sloan's operations research group, collaborating with industry partners like McKinsey & Co. and Booz Allen Hamilton on transportation analytics and optimization projects.