Summary
Luc Lesoil is a data scientist with eight years of experience combining academic research and applied machine learning, currently working at EssilorLuxottica after completing a PhD on deep software variability at Université de Rennes. He has a strong statistical and engineering foundation from ENSAI and hands-on experience in image/video analysis, embedded AI (Raspberry Pi + Google Coral), and reproducible experimental pipelines using Docker, Python, TensorFlow and scikit-learn. His research produced peer-reviewed publications (TSE, JSS) and open technical artifacts—code and experiments—publicly available on GitHub, reflecting a commitment to reproducibility. Luc has applied his skills in real-world projects from disaster-response drone systems to campus digital twins and decision-support dashboards, and he teaches at the master level, bridging research, development and communication.
8 years of coding experience
Baccalauréat, Scientifique, Mention bien, Baccalauréat, Scientifique, Mention bien at Lycée Charles Péguy
License 3, Applied Mathematics, Assez bien, License 3, Applied Mathematics, Assez bien at Université de Rennes I
Doctorat, Computer Science, Doctorat, Computer Science at Université de Rennes
Équivalent Bac +2, Mathématiques et physique, Équivalent Bac +2, Mathématiques et physique at CPGE Lycée Pothier
Master 2 (M2), Statistiques, Informatique et Économie, Master 2 (M2), Statistiques, Informatique et Économie at Ecole nationale de la Statistique et de l'Analyse de l'Information
English, German, French