Emma Frejinger
Emma Frejinger is a professor at Université de Montréal and an associate academic member of Mila; her research combines machine learning and operations research to support transport and supply-chain decisions. She earned a PhD at EPFL in 2008, received two dissertation prizes, and joined Université de Montréal as an assistant professor in 2013 after serving on KTH’s faculty. Her work includes a reinforcement-learning study of freight booking and a 2025 contextual-optimization survey; since 2018, she has advised IVADO Labs on AI solutions for supply chains. At UdeM, she is special advisor on AI and digital technology in the Office of the Vice-Rector, Research and Innovation, a role she began in September 2026.
- Now at
- Université de Montréal, Mila and IVADO Labs
- Badges
Timeline
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2008
A doctorate at EPFL
She completes her PhD at EPFL in 2008 under Michel Bierlaire in the Transport and Mobility Laboratory.
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2008
Two dissertation prizes
Her route-choice thesis wins the 2008 Eric Pas Dissertation Prize and the 2008 Dissertation Prize of the Transportation Science & Logistics Society, INFORMS.
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2011
Assistant professor at KTH
In 2011, she is appointed assistant professor in the Division of Transport and Location Analysis at the Royal Institute of Technology in Stockholm.
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January 2013
A chair at Université de Montréal
In January 2013, she starts as assistant professor at Université de Montréal and becomes holder of the CN Intermodal Transportation Research Chair.
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Since 2018
AI work at IVADO Labs
Since 2018, she serves as scientific advisor at IVADO Labs and contributes to AI solutions for the supply chain industry.
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2021–2024
Freight booking with reinforcement learning
In 2021, she coauthors a reinforcement-learning study on freight booking control. It trains a supervised model to predict the operational problem’s objective and deploys that model in reinforcement-learning policies; the journal version appears in 2024.
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2025
A contextual optimization survey
In 2025, she coauthors a survey of contextual optimization in the European Journal of Operational Research. It identifies three frameworks for learning decision policies from data and reviews methods that combine prediction with optimization under uncertainty.
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September 2026
AI and digital advisor at UdeM
On September 14, 2026, she joins the Office of the Vice-Rector, Research and Innovation at Université de Montréal as special advisor on artificial intelligence and digital technology. She is a full professor in the Department of Computer Science and Operations Research and an associate academic member of Mila.
Career
- Since 2018IVADO LabsScientific Advisor
- Since 2013Université de MontréalAssistant Professor, Special Advisor on Artificial Intelligence and Digital Technology
- NowMilaAssociate Academic Member
- From 2011KTH Royal Institute of TechnologyAssistant Professor
Education
- 2008EPFLPhD
Sources and credits
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- Emma Frejinger appointed Assistant Professor at KTH - EPFL
- Emma Frejinger appointed Assistant Professor in Montréal - EPFL
- Emma Frejinger | Mila
- [2102.00092] Reinforcement Learning for Freight Booking Control Problems
- Research | Emma Frejinger
- [2306.10374] A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
- Emma Frejinger appointed special advisor on AI and digital technology - UdeMnouvelles



