Summary
Olivier Caelen is an Associate Professor and seasoned machine learning researcher with a PhD from Université Libre de Bruxelles and over a decade of industry and academic experience spanning fraud detection, CRM analytics, and supply-chain optimization. He has led data science teams at Orange and Levi’s, spent many years advancing anomaly detection and R&D at Worldline, and co-authored 42 peer-reviewed publications and six patents that bridge theory and production. Comfortable teaching foundational ML and deep learning, he also contributes to applied research collaborations across Belgian universities and industry partners. Notably, his doctoral work on optimal sequential selection for bandit problems underpins practical solutions he has deployed for real-time fraud and decision-support systems.
9 years of coding experience
16 years of employment as a software developer
Master's Degree Mathematics and Statistics, Master's Degree Mathematics and Statistics at Université catholique de Louvain
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Université libre de Bruxelles
French, Dutch, English