Sebastien Martin is an Assistant Professor of Operations at Kellogg. He received his Ph.D. in operations research from MIT and an M.Sc. in applied mathematics at Ecole Polytechnique. Before joining Kellogg, he was a postdoctoral research fellow at the ridesharing company Lyft. He is a twice Edelman Award Laureate (2019 and 2023) and has received the George Dantzig and TLS Society dissertation awards.
His research is at the interface of optimization, transportation, and public policy. His work on public school operations combines complex large-scale logistics problems with policy decision-making. For example, he helped redesign the school-bus routes of Boston Public Schools in 2018, and he helped change the school schedules of the San Francisco Unified School District in 2022. He is also interested in online platform operations and the gig economy, using modeling and optimization approaches to help gig workers be as productive as possible. In 2022, he helped the ridesharing company Lyft change its online matching algorithm, using online reinforcement learning to better match drivers to passengers, resulting in more than 30 million dollars of additional annual revenue for the drivers.
Sebastien Martin joined the faculty of the Operations group at Kellogg in 2020. He received his Ph.D. in operations research from MIT and an MSc in applied mathematics at Ecole Polytechnique. Before joining Kellogg, he was a postdoctoral research fellow at the ridesharing company Lyft.
Sebastien's research is at the interface of optimization, transportation, and policy. His work focuses on designing scalable algorithms and decision-making tools in the age of the sharing economy to enable efficient and equitable transportation systems. He is a Franz Edelman Award laureate. His research also directly led to many impactful applications: he partnered with Boston Public Schools to redesign the district bus routes and save millions of dollars. He also partnered with the San Francisco public school district to change the school's start and end times, leading to more efficient student transportation and improving social equity. He also worked with Lyft, Inc. to change their online matching algorithm, savings tens of millions of dollars every year.