- Charles Audet, Sébastien Le Digabel, Michael Kokkolaras, Miguel Diago Martinez 
 Combining machine learning and blackbox optimization for engineering design
- Michel Denault, Dominique Orban, Pierre-OIivier Pineau 
 Paths to a cleaner Northeast energy system through approximate dynamic programming
- Mehmet Gumus, Erick Delage, Arcan Nalca, Angelos Georghiou 
 Data-driven Demand Learning and Sharing Strategies for Two-Sided Online Marketplaces
- Jonathan Jalbert, Françoise Bichai, Sarah Dorner, Christian Genest 
 Modélisation des surverses occasionnées par les précipitations et développement d’outils adaptés aux besoins de la Ville de Montréal
- Nadia Lahrichi, Sébastien Le Digabel, Andrea Matta, Nicolas Zufferey, Andrea Lodi, Chunlong Yu 
 Reactive/learning/self-adaptive metaheuristics for healthcare resource scheduling
- Liam Paull, Derek Nowrouzezahrai, James Forbes 
 Differentiable perception, graphics, and optimization for weakly supervised 3D perception
- Jean-François Plante, Patrick Brown, Thierry Duchesne, Nancy Reid, Luc Villandré 
 Statistical inference and modelling for distributed systems
- Wei Qi, Xue (Steve) Liu, Max Shen, Michelle Lu 
 Deals on Wheels: Advancing Joint ML/OR Methodologies for Enabling City-Wide, Personalized and Mobile Retail
- Marie-Ève Rancourt, Gilbert Laporte, Aurélie Labbe, Daniel Aloise, Valérie Bélanger, Joann de Zegher, Burcu Balcik, Marilène Cherkesly, Jessica Rodriguez Pereira 
 Humanitarian Supply Chain Analytics
- Saibal Ray, Maxime Cohen, James Clark, Ajung Moon 
 Retail Innovation Lab: Data Science for Socially Responsible Food Choices
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        Announcement
        
    Several GERAD teams funded by IVADO
 
          Congratulations to the teams selected to lead new fundamental research projects!