A photo of Justin Dumouchelle

Justin Dumouchelle

Contact information

Web presence

Location

Office: MS534

Background

Educational Background

PhD Industrial Engineering, University of Toronto, 2025

MASc Applied Mathematics, Polytechnique Montréal, 2021

BMath Computer Science, Combinatorics & Optimization, University of Waterloo, 2018

Research

Areas of Research

Operations Research, Integer Programming, Optimization Under Optimization, Machine Learning, Deep Learning

My research interests are at the intersection of machine learning and operations research. I am focused on developing efficient data-driven algorithms for complex decision-making problems, particularly in settings involving discrete decisions (integer programming), uncertainty (stochastic programming and robust optimization), and multiple decision-makers (bilevel optimization), with applications in logistics, transportation, and healthcare.

More Information

Prospective Students: I will be recruiting Master’s and PhD students to start in Fall 2026. Please reach out with your CV and transcripts by email if interested.