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Sebastien Martin
Operations
Assistant Professor of Operations
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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 examines the interface between humans and algorithms in public sector operations and online platforms, focusing on prescriptive analytics and motivated by real-world impact. He designed Lyft's dispatch algorithm, increasing drivers' yearly revenue by tens of millions. He also optimized the school transportation systems of Boston and San Francisco, enabling millions of dollars to be reinvested every year in children's education while increasing fairness.
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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.