WE’RE HIRING ! We have several open postdoctoral positions.
If you’re interested in joining as a PhD student you can apply through the Management Science PhD Program, which is offered jointly by the universities of HEC Montréal, McGill, Concordia and UQAM.

We develop techniques to create, enable, and support the disruptive technologies that will shape the mobility systems of the future.

Our techniques enable high‐resolution models and data, obtained at the scale of individual travelers and vehicles, to be used to optimize the performance of mobility systems at the scale of entire cities and metropolitan areas.

We have worked in collaboration with major public and private stakeholders including the New York City Department of Transportation (NYCDOT), the San Diego Planning Agency (SANDAG), Ford Motor Company, Zipcar, Accenture and IBM, studying and optimizing mobility for a variety of metropolitan areas including Berlin, Boston, Chicago, Lausanne, NYC, San Diego, San Francisco, Singapore, and Toronto.

Recent projects have addressed topics such as car-sharing, congestion pricing, traffic management and model calibration. Our techniques combine ideas from various areas including probability theory, simulation, simulation-based optimization, derivative-free optimization, nonlinear optimization, statistics, traffic control and traffic flow theory.

Visit our research topics webpage or watch a 2018 seminar talk, for more details about our research.

Research affiliations:
GERAD: Group for Research in Decision Analysis
CIRRELT Inter-university Research Centre on Enterprise Networks, Logistics and Transportation
MIT Civil and Environmental Engineering Department
MIT Operations Research Center
Transportation@MIT
MIT Center for Computational Engineering
Transport and Mobility Laboratory, EPFL