cv
My CV is available below, you can also click the PDF icon above to download an equivalent PDF.
Basics
Name | Sébastien Martin |
Label | Assistant Professor |
sebastien.martin@kellogg.northwestern.edu | |
Phone | +1 (510) 229-2758 |
Url | https://sebastienmartin.info |
Summary | I am an assistant professor of Operations at the Kellogg School of Management, Northwestern University. My research focuses on the interface of large-scale optimization and operations management, with applications to transportation, the gig economy, public sector operations and AI. |
Work
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2020 - Present Evanston, IL, USA
Assistant Professor of Operations
Northwestern University - Kellogg
I teach the Operations Management core course in the MBA program.
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2019 - 2020 New York City, NY, USA
Postdoctoral Fellow
Lyft, Inc.
I worked with the Marketplace Innovation Lab to improve dispatch algorithms.
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2016.06 - 2016.08 Mountain View, CA, USA
Software Engineering Intern
Google
Successfully passed the Google Software Engineer coding interviews. Worked for Google Maps. Researched, experimented and implemented novel algorithms to improve maps and navigation data using large geolocation datasets (> 100Gb).
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2014.04 - 2014.08 Berkeley, CA, USA
Visiting Researcher
UC Berkeley
Education
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2014 - 2019 Cambridge, MA, USA
Ph.D.
Massachusetts Institute of Technology
Operations Research
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2011 - 2015 Palaiseau, France
B.Sc. & M.Sc.
Ecole Polytechnique
Applied Mathematics
Awards
- 2024
Chair Core Course Teaching Award
Kellogg School of Management, Northwestern University
For "teaching excellence" in Kellogg's core course Operations Management
- 2024
Transportation Science Meritorious Service Award
INFORMS TSL Society
For my service as a reviewer for the journal Transportation Science.
- 2024
Best Student Paper Award
MIT ORC
For my paper "Two-Sided Flexibility in Platforms", the student is my co-author Kamessi Zhao.
- 2023
Franz Edelman Award Laureate (with Lyft)
INFORMS
Most important award for applied operations research, for my work on reinforcement learning with Lyft.
- 2022
Daniel H. Wagner Prize Finalist
INFORMS
Award for "strong mathematics applied to practical problems", for my work on platform equilibrium optimization with Lyft.
- 2021
RMP Student Paper Award Finalist
INFORMS
Award for the best student paper in revenue management and pricing for my paper on labor cost free-riding in the gig economy. The student was Zhen Lian.
- 2019
George B. Dantzig Dissertation Award
INFORMS
For my PhD dissertation. The George B. Dantzig Award is given for the best dissertation in any area of operations research and the management sciences that is innovative and relevant to practice.
- 2019
TSL dissertation prize
INFORMS Transportation Science and Logistics Society
For my PhD dissertation. Oldest dissertation INFORMS prize, in the general area of transportation science and logistics.
- 2019
Franz Edelman Award Laureate (with Boston Public Schools)
INFORMS
Most important award for applied operations research, for my work on bus routing optimization with Boston Public Schools.
- 2019
Doing Good with Good OR award, Second Place
INFORMS
For my paper "optimizing schools’ start time and bus routes".
- 2018
Best Student Paper Award
MIT ORC
For my paper "optimizing schools’ start time and bus routes".
- 2018
Best Presentation
LIDS
For my paper "Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications".
- 2017
Boston Public Schools Transportation Challenge Winner
Boston Public Schools
Winner of a $30,000 contest to optimize school bus routes and school schedules.
- 2013
Zodiac Aerospace – Gerondeau Innovation Prize
Zodiac Aerospace & Ecole Polytechnique
Won a €10,000 prize for most innovative start-up, using machine learning to build a smart bicycle that automatically shifts gears.
- 2012
French Medal of National Defense, Bronze level
France
I received this French military honor for my cumulated time in external operations during my year of service as a military firefighter.
Publications
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2024 A Better Match for Everyone: Reinforcement Learning at Lyft
S. Martin and 10+ Lyft collaborators
INFORMS Journal on Applied Analytics
2023 Franz Edelman Award Laureate
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2024 Autonomous Vehicles in Ride-Hailing and the Threat of Spatial Inequalities
F. Castro, J. Gao, S. Martin
Working Paper
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2024 -
2024 Employees versus Contractors: An Operational Perspective.
I. Lobel, S. Martin, H. Song
Manufacturing & Service Operations Management (Frontiers in Operations)
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2024 Value of Sharing in Robots-as-a-Service Operations
A. Jacquillat, S. Martin, K. Zhang
To be resubmitted to Management Science
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2024 Trading Flexibility for adoption: Dynamic versus static walking in ridesharing
J. Yan, S. Martin, S. Taylor
Management Science
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2024 -
2024 Algorithmic Precision and Human Decision: A Study of Interactive Optimization for School Schedules
A. Delarue, Z. Lian, S. Martin
Minor Revision at Management Science
Accepted in EC 2024, semi-finalist if the 2024 Wagner Prize.
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2024 -
2024 Human-AI Interactions and Societal Pitfalls
F. Castro, J. Gao, S. Martin
Working Paper (to be submitted to Operations Research)
Accepted in EC 2024. Featured in the Wall Street Journal & MIT Technology Review.
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2024 Two-Sided Flexibility in Platforms
D. Freund, S. Martin, J. (K.) Zhao
Submitted to Operations Research
MIT ORC Best Student Paper Award, 2024
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2023 Labor Cost Free-Riding in the Gig Economy
Z. Lian, S. Martin, G. van Ryzin
Major revision, Management Science
INFORMS RMP (Revenue Management and Pricing) Student Paper Award Finalist, 2021
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2022 Solving the ride-sharing productivity paradox: Priority dispatch and optimal priority sets
V. Krishnan, R. Iglesias, S. Martin, V. Pattabhiraman, S. Wang, G. van Ryzin
INFORMS Journal on Applied Analytics
Daniel H. Wagner Prize Finalist, 2022
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2022 Real-Time Rideshare Driver Supply Values using Online Reinforcement Learning
B.Han, H. Lee, S. Martin
KDD 2022 (Machine Learning Conference)
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2022 -
2020 Bus Routing Optimization Helps Boston Public Schools Design Better Policies
D. Bertsimas, A. Delarue, W. Eger, J. Hanlon, S. Martin
INFORMS Journal on Applied Analytics
2019 Franz Edelman Award Laureate
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2019 Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications
D. Bertsimas, P. Jaillet, S. Martin
Operations Research
Best Presentation (2018 LIDS conference)
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2019 Travel Time Estimation in the Age of Big Data
D. Bertsimas, A. Delarue, P. Jaillet, S. Martin
Operations Research
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2019 -
2019 Optimizing schools’ start time and bus routes
D. Bertsimas, A. Delarue, S. Martin
Proceedings of the National Academy of Science
Featured in the Wall Street Journal and the Boston Globe. MIT ORC Best Student Paper Award, 2018. Doing Good with Good OR INFORMS award, Second Place, 2019.
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2016 Creating complex congestion patterns via multi-objective optimal freeway traffic control with application to cyber-security
J. Reilly, M. Payer, A. Bayen
Transportation Research Part B
Languages
English | |
Fluent |
French | |
Native speaker |
Spanish | |
Intermediate |