publications
Publications in reverse chronological order. The year corresponds to the last paper update. Click on a paper's title to access its abstract and PDF.
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
2024 |
Autonomous Vehicles in Ride-Hailing and the Threat of Spatial Inequalities
F. Castro, J. Gao, S. Martin
Working Paper
2024 |
Human-AI Interactions and Societal Pitfalls
F. Castro, J. Gao, S. Martin
Working Paper
Accepted in EC 2024. Featured in the Wall Street Journal.
2024 |
2024 |
Employees versus Contractors: An Operational Perspective.
I. Lobel, S. Martin, H. Song
Manufacturing & Service Operations Management (Frontiers in Operations)
2024 |
2024 |
Two-Sided Flexibility in Platforms
D. Freund, S. Martin, J. (K.) Zhao
Working Paper
MIT ORC Best Student Paper Award, 2024
2024 |
Trading Flexibility for adoption: Dynamic versus static walking in ridesharing
J. Yan, S. Martin, S. Taylor,
Accepted in Management Science
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.
2023 |
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
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
2022 |
Real-Time Rideshare Driver Supply Values using Online Reinforcement Learning
B.Han, H. Lee, S. Martin
KDD 2022 (Machine Learning Conference)
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
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)
2019 |
Travel Time Estimation in the Age of Big Data
D. Bertsimas, A. Delarue, P. Jaillet, S. Martin
Operations Research
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.
2016 |