Justin Dumouchelle
Affiliations
Assistant Professor
Faculty of Science, Department of Mathematics and Statistics
Contact information
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
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 recruiting students to begin in Fall 2027 and later. I welcome applicants from Operations Research, Computer Science, Applied Mathematics, Industrial Engineering, Statistics, and related quantitative fields aligned with optimization and machine learning. Please review the MSc and PhD admission requirements and submit an interest form. Due to the volume of inquiries, I may not be able to respond to all submissions individually.
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