Alexandre Filiot is a data scientist based in Paris with eight years' experience applying machine learning and computer vision to precision medicine at Waiv (formerly Owkin Dx). Trained at top French schools (École Centrale de Marseille, ENS Paris-Saclay, ENSEA/ENSAE) and with an Erasmus stint in stochastic finance at the University of Amsterdam, he blends rigorous mathematical foundations with practical data engineering. At Owkin he has focused on biomedical image analysis and data-driven clinical insights, bridging research-grade models and production needs. Colleagues describe him as equally comfortable prototyping novel models and hardening pipelines for reproducible clinical use. His background suggests a knack for translating complex statistical theory into applied solutions that accelerate precision medicine.
8 years of coding experience
CPGE MPSI/MP*, Admission Concours Centrale-Supélec, CPGE MPSI/MP*, Admission Concours Centrale-Supélec at Lycée Henri Wallon
Master 2 Mathématiques Vision Apprentissage (MVA), Data Science, Master 2 Mathématiques Vision Apprentissage (MVA), Data Science at École Normale Supérieure Paris-Saclay
Baccalauréat série S-Mathématiques&Anglais Européen, Mention Très Bien, Baccalauréat série S-Mathématiques&Anglais Européen, Mention Très Bien at Lycée Watteau
Diplôme d'Ingénieur de l'École Centrale de Marseille, Diplôme d'Ingénieur de l'École Centrale de Marseille at Ecole Centrale de Marseille
Semestre Erasmus de Master 1, Mathématiques Stochastiques et Financières, Semestre Erasmus de Master 1, Mathématiques Stochastiques et Financières at Universiteit van Amsterdam
Contributions:9 commits, 9 pushes, 1 branch in 5 months
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