Ian Yihang Zhu

Ph.D. Candidate
Department of Mechanical and Industrial Engineering

Contact: i.zhu [at] mail.utoronto.ca
CV: [PDF] (updated Jan. 2023)

About Me

I am a 5th year PhD candidate at the University of Toronto, supervised by Professors Merve Bodur and Timothy Chan. Previously, I completed my Master of Applied Science at UofT and my Bachelor of Science in Mathematics at UBC. My research interests broadly lie in the design of algorithms for data-driven estimation and decision-making problems in the context of transportation, supply chain analytics, and operations management. Two recurring themes that underlie my work is the use of (i) data and (ii) mathematical programming.

Update: In Fall 2023, I will join NUS Business School as an Assistant Professor of Analytics and Operations!

News/Upcoming Talks
  • 08/2022: I was an invited speaker for the [YinzOR Conference] at Carnegie Mellon University.
  • 04/2022: I was invited to give a talk on Inverse Optimization, which you can find on [Youtube].

Completed Papers
  1. Inverse Optimization: Theory and Applications
    with Timothy C.Y. Chan and Rafid Mahmood
    Major Revision at Operations Research, 2023 [PDF]
  2. Got (the Best) Milk? Pooling Donations in Human Milk Banks with Machine Learning and Optimization
    with Timothy C.Y. Chan, Rafid Mahmood, Rachel K. Wong et al.
    Major Revision at Manufacturing & Service Operations Management, 2023
    Finalist, CORS Practice Prize 2023 (Results TBD)
    Finalist, POMS CHOM Paper Competition 2023 (Results TBD)
  3. Advising Student-Driven Analytics Projects: A Summary of Experiences and Lessons Learned
    with Aaron Babier and Craig Fernandes
    INFORMS Transactions on Education, 2023 [DOI, PDF]
    Media coverage: ORMS Today (Learning Analytics in a Data-Driven Age)
  4. Spatial Price Integration in Commodity Markets with Capacitated Transportation Networks
    with John R. Birge, Timothy C.Y. Chan and J. Michael Pavlin
    Operations Research, 2022 [DOI, PDF]
    Finalist, MSOM Student Paper Competition 2022
    Finalist, CORS Student Paper Competition 2022
    Media coverage: Chicago Booth Review
  5. Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods
    with Merve Bodur and Timothy C.Y. Chan
    INFORMS Journal on Computing, 2022 [DOI, PDF, Poster]
    First Place, CORS Student Paper Competition 2022
  6. Prediction of Protein and Fat Content in Human Donor Milk Using Machine Learning
    with Timothy C.Y. Chan, Rafid Mahmood, Rachel K. Wong et al.
    The Journal of Nutrition, 2021 [DOI]
Working Papers
  1. Network Flow Models for Robust Binary Optimization with Selective Adaptability
    with Merve Bodur and Timothy C.Y. Chan
    In preparation for INFORMS Journal on Computing

  • MIE368: Analytics in Action
    University of Toronto, Teaching Assistant, Fall 2020, 2021
    MIE Group Teaching Assistant Award (2020-2021)
    MIE Teaching Assistant Award (2021-2022)
  • MIE263: Stochastic Operations Research
    University of Toronto, Teaching Assistant, Winter 2019, 2020
  • MATH110/104/190: Differential Calculus
    UBC, Teaching Assistant, 2014-2015

Past Conference Talks
  • 2022: Montreal Optimization Days, CORS/INFORMS International, CPAIOR
  • 2021 and before: INFORMS (x5), CORS, MSOM, MIP Workshop
Follow me on [Twitter]