Theophile Regnier

Senior Medical Data Portfolio Manager, Team Lead - Partnerships Team at Owkin

Theophile Regnier is a Data Portfolio Analyst at Owkin since January 2023, previously serving as a Junior Business Analyst in Cardiology at Sanofi from September 2020 to January 2023. At Sanofi, Theophile focused on performance analysis for Praluent and the launch of a new indication, managing coordination between global strategy and marketing, monitoring sales, and preparing market studies. Theophile also held positions as a Junior Product Manager for insulins at Sanofi and as a Business Development Consultant Intern at SBT Human(s) Matter, where responsibilities included market research and opportunity identification for cognitive assessment products. Early career experiences include oncology research at Vernalis, cardiovascular research at Servier, and laboratory technician work at Symrise Flavor LA. Theophile completed an Advanced Master in Biotechnology & Pharmaceutical Management at Grenoble Ecole de Management and holds an engineering degree in Biological Engineering and Health from Polytech Angers.

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Paris, France

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Owkin

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Owkin believes that medical research should be collaborative, inclusive, and privacy-preserving. Today, Owkin is pioneering AI in healthcare. It leverages its collaborative federated learning software and expert AI capabilities to bring solutions to optimize drug development and improve patient care in oncology. Owkin’s work has been published in Nature Medicine and other top-tier journals. Owkin has raised over $70M from leading VC funds and is now working with the most prominent cancer centers and pharmaceutical companies in Europe and the US. Additionally, Owkin leads several federated learning consortia, including; MELLODDY, to facilitate 'co-opetive' drug discovery between pharma companies, and Healthchain, to allow collaborative research across multiple hospitals. Owkin was co-founded in 2016 by Thomas Clozel, MD, a clinical research doctor and former assistant professor in clinical hematology, and by Gilles Wainrib, Ph.D., an academic pioneer in the field of Artificial Intelligence in biology.


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51-200

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