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François Gouverneur

Researcher

François graduated from UCLouvain in Applied Mathematics (with specialization in optimization) in 2022 before completing a complementary Master 60 at the LSM in management. 

His first thesis concerned the analysis and optimization of tours for a Brussels-based bicycle delivery company while his second work focused on machine learning fairness in post-processing techniques.

Projects

OpenHub - Empowerhub

Publications

2023

link

Gouverneur, François ; Saerens, Marco ; Draguet, Martin ; Gouverneur, François ; Catanzaro, Daniele ; Delvenne, Jean-Charles. Fairness in machine learning : focus on post-processing methods - Mémoire (Thesis)