I joined GERAD in 2021. At HEC Montréal, I hold the Scale AI Research Chair in Artificial Intelligence for Urban Mobility and Logistics. I am also a Staff Research Scientist at Google Research. Prior to joining HEC Montréal, I was a visiting associate professor at Massachusetts Institute of Technology. I work in the area of simulation-based optimization (SO) with applications in urban transportation and logistics. My work combines ideas from fields such as SO, Bayesian optimization, black-box optimization, queueing theory and traffic flow theory. Urban mobility is a key enabler of social development yet also imposes critical energy, environmental, economic, and societal challenges. As a researcher, I am committed to contribute to the design of urban mobility systems that both serve the unique needs of their users and are sustainable. Hence, I work closely with private and public sector transportation stakeholders. For instance, I have collaborated with the New York City Department of Transportation and Zipcar, the largest car-sharing operator in the US. Examples of ongoing work include: enhancing the scalability of Bayesian optimization techniques, combining ideas from mathematical programming and SO to boost the performance and scalability of SO for combinatorial transportation optimization problems, and the design of compute efficient algorithms to tackle calibration problems for large-scale urban mobility simulators.