Sébastien Martin
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Sébastien Martin

Assistant Professor of Operations

Kellogg Faculty Page →

At Their Best, Self-Learning Algorithms Can Be a “Win-Win-Win”

Lyft is using ”reinforcement learning” to match customers to drivers—leading to higher profits for the company, more work for drivers, and happier customers.

Researchers: Sébastien Martin

March 1, 2023

Operations

Podcast: What One School District’s Fiasco Says About the Strengths and Limits of AI

On this episode of The Insightful Leader: When Boston Public Schools looked to algorithms to solve equity issues and save money, it ran into a roadblock—the complicated lives of parents and students.

Researchers: Sébastien Martin

June 14, 2022

Leadership

2 Ways to Improve Rideshares for Drivers and Customers

Research suggests there are ways to reduce costs and emissions, as well as help customers get picked up more quickly.

Researchers: Ilan Lobel, Sébastien Martin, Anton Braverman, J. G. Dai, Xin Liu and Lei Ying

March 1, 2021

Operations

Researchers Designed an Algorithm to Save Schools Money and Improve Equity. The District Loved it. Then Things Got Messy.

A tale of bus routes in Boston shows the promises and pitfalls of using new technology to change entrenched systems.

Researchers: Dimitris Bertsimas, Arthur Delarue and Sébastien Martin

October 1, 2020

Social Impact