Olivier Caelen
ΠΠΈΠΎΠ³ΡΠ°ΡΠΈΡ:
Olivier Caelen holds two master's degrees (in Statistics and Computer Science) and obtained his Ph.D. from the Machine Learning Group of the Université Libre de Bruxelles under the supervision of Professor Gianluca Bontempi. During his thesis, he worked on optimal sequential selection algorithms in the context of the bandit problem. After his thesis, he spent 8 years at Worldline (a former Atos company). Five years in the credit card fraud detection team and three years in the R&D department. His research at Worldline focused on machine learning techniques for anomaly and fraud detection. From 2018 to 2021, he was the lead data scientist in Orange Belgium. At Orange Belgium, the projects he had to work on were mainly focused on topics related to the marketing team (e.g. churn detection, up-selling, cross-selling, and prospecting). In 2021, he was the Data Science Manager at Levi's Europe, in charge of all supply chain-related projects. Since 2022, he is back in the R&D department of Worldline.
Olivier Caelen also teaches, sharing his experience in two courses. A course on the basics of machine learning at the Université libre de Bruxelles and another at ECAM on deep learning techniques.
He is also a co-author of 42 publications in international peer-reviewed scientific journals/conferences and co-inventor of 6 patents.