Research

PhD Thesis

"Analytics for Better Urban Cycling"
University of Toronto, Expected March 2025

  • Finalist, INFORMS 2025 George B. Dantzig Dissertation Award (Winner TBD)
  • Runner Up, INFORMS 2025 TSL Best Dissertation Award

Working Papers

"Analytics for Better Urban Cycling: A Multi-year Collaboration with the City of Toronto"
with Madeleine Bonsma-Fisher, Timothy Chan, Shoshanna Saxe

  • Winner, CORS 2025 Practice Prize
  • Finalist, INFORMS 2025 Daniel H. Wagner Prize (Winner TBD)

"Conformal Inverse Optimization for Adherence-aware Prescriptive Analytics"
with Timothy Chan, Erick Delage
Major revision, Operations Research

  • Finalist, INFORMS 2025 TSL Best Student Paper Award (Winner TBD)
  • Finalist, CORS 2025 Gilbert Laporte Student Paper Award
  • Finalist, INFORMS 2024 DMDA Workshop Best Paper Award - Theoretical Track
  • Preliminary version appeared in NeurIPS'24.

Journal Publications

"Machine Learning-Augmented Optimization of Large Bilevel and Two-stage Stochastic Programs: Application to Cycling Network Design"
with Timothy Chan, Shoshanna Saxe
Manufacturing & Service Operations Management, 2025

  • Winner, INFORMS 2024 TSL Best Student Paper Award
  • Winner, NUS Analytics for X 2024 Best Student Presentation Award
  • Runner Up, CORS 2023 Best Student Paper Competition
  • Finalist, INFORMS 2024 Service Science Best Cluster Paper Award
  • Finalist, CORS 2024 Gilbert Laporte Student Paper Award
  • Media: University of Toronto News, TechXplore

"Exploring the Geographical Equity-Efficiency Trade-off in Cycling Infrastructure Planning"
with Madeleine Bonsma-Fisher, Timothy Chan, Shoshanna Saxe
Journal of Transport Geography, 2024

"The Impact of COVID-19 Cycling Infrastructure on Low-Stress Cycling Accessibility: A Case Study in the City of Toronto"
with Timothy Chan, Shoshanna Saxe
Findings, 2021

"Deep Reinforcement Learning for Electric Vehicle Routing with Time Windows"
with Bissan Ghaddar, Jatin Nathwani
IEEE Transactions on Intelligent Transportation Systems, 2022

"Optimizing Electric Vehicle Routing and Charging/Discharging Under Time-Variant Electricity Prices"
with Bissan Ghaddar, Jatin Nathwani
Transportation Research Part C: Emerging Technologies, 2021

Conference Publications

"Conformal Inverse Optimization"
with Timothy Chan, Erick Delage
NeurIPS'24

"AutoLTS: Assessing Cycling Stress via Contrastive Learning and Spatial Post-processing"
with Timothy Chan, Shoshanna Saxe
AAAI'24

Work in Progress

"Analytics for Electrifying Bike-share Systems"
with Alexandre Jacquillat, Sheng Liu

"Discrete Choice over a Huge Consideration Set"

"Bridging Predictive and Prescriptive Analytics in Urban Cycling Network Design"
with Timothy Chan, Shoshanna Saxe

"Less is More: The Role of Data Sampling in Training ML-based Optimization Surrogates"
with Justin Dumouchelle

Open Source Projects

  • AutoLTS: Computer vision framework for cycling stress assessment
  • LTS-TRT: Toronto traffic stress network analysis tool
  • R2D-VRP: Reinforcement learning framework for vehicle routing problems
  • OCT: Python implementations of optimal classification tree formulations and their computational performance
  • CycleLinx: An interactive web app for exploring Toronto's bicycle network and our optimized expansion plan