CV

Academic background, experience, presentations, and skills.

Contact Information

Name Yuanyuan Li
Email yuanyuan.li@hec.ca
Website https://yuanyuan517.github.io

Experience

  • 2025 - present

    Montréal, Canada

    Postdoctoral Researcher
    HEC Montréal and GERAD
    Advised by Jean-François Cordeau, Yossiri Adulyasak, and Emma Frejinger.
  • 2018 - 2020

    Italy

    Researcher
    LINKS Foundation
    Developed optimization and scheduling methods for manufacturing and contributed to project management for the EU Horizon 2020 LEXIS project.
    • Industry 4.0, mathematical modeling, metaheuristics, scheduling, and programming.
  • 2017 - 2017

    Germany

    Research Intern
    Fraunhofer Institute for Transportation and Infrastructure Systems IVI
    Conducted risk analysis and predictive modeling for the EU Horizon 2020 SYNCHRO-NET project.
  • 2016 - 2017

    Italy

    Lab Assistant
    Polytechnic University of Turin
    Supported database management systems laboratory sessions.

Education

  • 2020 - 2025

    France

    PhD
    ESSEC Business School
    Operations Research and Management
    • Advised by Claudia Archetti, Ivana Ljubić, and Felix Papier.
  • 2024 - 2024

    Singapore

    PhD
    Nanyang Technological University, Nanyang Business School
    Operations Management (visiting student)
  • 2017

    Italy

    MSc
    Polytechnic University of Turin
    Software Engineering
  • 2015

    Italy

    BEng
    Polytechnic University of Turin
    Computer Engineering

Publications

  • 2025
    Emerging Optimization Problems for Distribution in Same-day Delivery
  • 2024
    Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates
  • Sprint or Walk? Managing Start-up Growth Before Facility Investments
  • Same-day Delivery with Pickup Stations
  • 2020
    Machine Learning and Optimization for Production Rescheduling in Industry 4.0
  • 2020
    Reinforcement Learning Algorithms for Online Single-Machine Scheduling
  • 2019
    Sustainable and De-Stressed International Supply-Chains Through the SYNCHRO-NET Approach

Selected Presentations

  • Sprint or Walk? Managing Start-up Growth Before Facility Investments — USTC (2025); INFORMS Annual Meeting (2024); POMS Annual Conference (2024); IESEG–ESSEC–University of Cologne Operations Research Camp (2024); ESSEC Student Research Seminar (2023).
  • Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates — POM China (2023); EURO (2022); ESSEC Student Research Seminar (2022).
  • Machine Learning Applications in Optimization: Job-Shop Scheduling in Industry 4.0 — ODS (2019); MIM (2019).

Scholarship

2016: **Compagnia di San Paolo–Politecnico Project Scholarship**, Polytechnic University of Turin. Merit scholarship awarded annually to 16 international students in Engineering or Architecture.

Technical Skills

Programming: Java, Python, OPL, C, SQL, HTML
Optimization and Data Tools: CPLEX, Gurobi, Eclipse, MySQL

Language Proficiency

Chinese: Native
English: Fluent
Italian: Basic
French: Basic