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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 Uncertainty, Machine Learning, Deep Learning

My research focuses on developing algorithms combining AI and optimization to address complex combinatorial and mixed-integer optimization problems involving nested or sequential decisions, with applications in energy systems and logistics.

 

More Information

Prospective Graduate Students: I am actively recruiting MSc and PhD students.  Please see my supervisor profile for more details.

Undergraduate Research: Students interested in summer research opportunities are welcome to reach out. Please email with the subject "Summer Undergraduate Research" and include a brief description of your interests, along with a resume/CV, and transcripts.