Justin Dumouchelle
I am an Assistant Professor at the University of Calgary in the Department of Mathematics & Statistics. 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, uncertainty, and multiple decision-makers, with applications in logistics, transportation, and healthcare.
I completed my Ph.D. in Mechanical and Industrial Engineering Department at the University of Toronto under the supervision of Elias Khalil. Prior to my Ph.D., I completed my MASc in Applied Mathematics under the supervision of Andrea Lodi and Emma Frejinger at Polytechnique Montréal and my BMath in Computer Science and Combinatorics & Optimization from the University of Waterloo. I worked in industry for one year as a Machine Learning Research Intern at Borealis AI on applied machine learning projects.
Publications
Working Papers
Conference Papers
Journal Papers
Workshop Papers
* denotes equal contribution.
Teaching
University of Calgary
- DATA 607 - Statistical and Machine Learning, Winter 2026
- DATA 543 - Deep Learning, Winter 2026
University of Toronto
- MIE245 - Data Structures and Algorithms, Winter 2025
- MIE245 - Data Structures and Algorithms, Tutorial TA, Winter 2024
- MIE335 - Algorithms and Numerical Methods, Tutorial TA, Winter 2023