About Pierre
Ingénieur Machine Learning full stack - Data Engineering, Data Science et déploiement devops.
Ingénieur centralien options Mathématiques appliquées, spécialisé en Machine Learning (master MVA)
6 ans d'expérience, expérience variée (startups, scale-ups, licornes, grands-groupes).
Je suis spécialisé dans le domaine médical: J'ai déjà réalisé plusieurs projets allant du secteur pharmaceutique (drug discovery & drug development) jusqu'à la clinique (développement de modèles d'imagerie médicale et études épidémiologiques sur des cohortes internationales)
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- ArgyronFounderDIGITAL AND ITApril 2021 - Today (5 years and 1 month)Paris, FranceOdin session pipeline: Real Time big data analytics on construction site tracking data
- Owkin FranceGroup Lead & Machine Learning EngineerMEDICALDecember 2017 - April 2021 (3 years and 4 months)Paris, FranceCreation of the ML engineering team to build ML tools for Owkin data-science teams, to serviceclients contracts, and provide the Owkin product with ML services.Recruited and managed 5 engineers, and organization of the team in an agile methodologyLead role on multiple high-stake projects:
- Idorsia HCS: Massively parallel feature extractor to analyze cell lines. Applied to the whole compound library of a pharmaceutical company
- Observational study to identify good-responders of a neurologic drug
- Owkin Galaxy: ML Algorithms suite in histology, radiology and EHR, deployed on-prem and on Owkin Studio
- InriaResearch internRESEARCHMay 2017 - October 2017 (6 months)Development of the GEP-PG algorithm, resulting in an ICML publication
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Education
- Ingénieur CentralienEcole Centrale Paris2017Applied mathematics specialty, Data Science option Grade: 16.6/20
- M2 MVAENS Cachan2017Master MVA: "Mathématiques, Vision, Apprentissage", le M2 le plus sélectif en France en Machine Learning Grade: 16.7/20