Research and Publications

My research is at the interface of optimization, mathematical modeling, transportation, and public policy.

Google Scholar

Under Review

• Human-AI Interactions and Societal Pitfalls with F. Castro, J. Gao submitted to Management Science (2023)
• Trading flexibility for adoption: Dynamic versus static walking in ridesharing with S. Taylor, J. Yan. Management Science, Major Revision (2023)
• Labor Cost Free-Riding in the Gig Economy with Z. Lian, G. van Ryzin. Management Science, Major revision (2023)
  • INFORMS RMP (Revenue Management and Pricing) Student Paper Award Finalist, 2021.
• Algorithmic Precision and Human Decision: A Study of Interactive Optimization for School Schedules with A. Delarue, Z. Lian. Management Science, Human-AI Interface Special Issue R&R.

Published Work

• Employees versus Contractors: An Operational Perspective with I. Lobel, H. Song. MSOM, Frontier of Operations, Accepted (2024)
• A better match for everyone: Reinforcement Learning at Lyft with X. Azagirre, A. Balwally, G. Candeli, N. Chamandy, B. Han, A. King, H. Lee, M. Loncaric, S. Martin, V. Narasiman, T. Qin, B. Richard, S. Smoot, S. Taylor, G. van Ryzin, D. Wu, F. Yu, A. Zamoshchin INFORMS Journal on Applied Analytics, Accepted (2023)
  • Franz Edelman Award Laureate, 2023.
• Detours in Shared Rides with I. Lobel. Management Science, accepted (2023)
• Real-Time Rideshare Driver Supply Values using Online Reinforcement Learning with B. Han, H. Lee. KDD 2022
• Solving the ride-sharing productivity paradox: Priority dispatch and optimal priority sets with V. Krishnan, R. Iglesias, V. Pattabhiraman, S. Wang, G. van Ryzin. INFORMS Journal on Applied Analytics (2022)
  • INFORMS Wagner Prize Finalist, 2021.
• Bus Routing Optimization Helps Boston Public Schools Design Better Policies with D. Bertsimas, A. Delarue, W. Eger, J. Hanlon. INFORMS Journal of Applied Analytics (2020)
• The Edge of Large-Scale Optimization in Transportation and Machine Learning MIT PhD Thesis (2019)
  • George B. Dantzig Dissertation Award (2019), INFORMS TSL Dissertation Prize (2019)
• Optimizing schools’ start time and bus routes with D. Bertsimas, A. Delarue. Proceedings of the National Academy of Sciences (2019)
  • Franz Edelman Award Finalist (2019), MIT ORC Best Student Paper (2018), Doing Good with Good OR INFORMS award (2nd place) Wall Street Journal, Boston Globe
• Travel Time Estimation in the Age of Big Data with D. Bertsimas, A. Delarue, P. Jaillet. Operations Research (2019)
• Online vehicle routing: the edge of optimization in large-scale applications with D. Bertsimas, P. Jaillet. Operations Research (2019)
  • Best Presentation (2018 LIDS conference)
• Creating complex congestion patterns via multi-objective optimal freeway traffic control with application to cyber-security with J. Reilly, M. Payer, A. Bayen. Transportation Research Part B: Methodological (2016)

Working Papers

• Value of Sharing in Robots-as-a-Service Operations with A. Jacquillat, K. Wang (2024)
• Two-sided Platform Flexibility with D. Freund, J. Zhao (2023)
• Reinforcement Learning with Relative Values with A. Bazerghi, G. van Ryzin (2024)
• The Price of Overlooking Experimentation in Experimentation with Y. Huang, Z. Qin (2024)
• Autonomous Vehicles in Ride-Hailing and the Threat of Spatial Inequalities with F. Castro, J. Gao. (2023)
• Mobility-on-Demand Meets Shuttles on the Same Mile with S. Chopra, P. Mishra, K. Smilowitz. (2023)
• Supply Prioritization in Hybrid Marketplaces with F. Castro, J. Gao. (2022)

Completed Work

• The price of Interpretability with D. Bertsimas, A. Delarue, P. Jaillet available on arXiv (2019)
  • INFORMS Data Mining Section Best Student Paper Finalist (2019)
• Optimal Explanations of Linear Models with D. Bertsimas, A. Delarue, P. Jaillet available on arXiv (2019)