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Manuel Gea

Manuel Gea

Co-Founder & CEO
Bio Modeling Systems
Paris, France

Biography

Manuel Gea (57 years old) is a serial entrepreneur, co-founder of the world’s first Mechanisms-Based Medicine Company, thinking & doing out of the box applying “general semantics” principles and Augmented Intelligence vs Artificial Intelligence. Keynote Speaker, independent board member, expert, & business angel developing disruptive innovations (technologies, novel therapies & business models) in the life sciences, IT, pharma, healthcare & cosmetic sectors. He is graduated from Ecole Centrale Paris in operational research and data integration, and has a sociology of organizations degree from Paris IX Dauphine University. He is also Chairman of the Independent trans-discipline biotech Think Tank Adebiotech, and the co-founder and Chairman of Centrale-Santé, the French Health Think-Tank gathering 2500 members, professional involved in sector innovations and creating value for patients. Manuel Gea, is co-founder, CEO & VP R&D IT of BMSystems, The Mechanisms-Based Medicine Company dedicated to the discovery of cost-effective new therapeutic, diagnostic & preventive solutions.

Research Interest

He spent 30 years creating value in various domains and executive jobs: • from consumer goods Industry to cosmetics, biotechnology & pharma companies and, • from business to R&D at Colgate-Palmolive, McKinsey, Boehringer Ingelheim, HemispherX Biopharma, Pherecydes-Pharma, BMSystems and, • co-founder and contributor to professional organizations (Leem biotech, Medef, Medicen cluster) and Think-Tanks (Adebiotech, Centrale-Santé) to promote disruptive innovation and entrepreneurship. • co-founder of the Digital Health Commission at Medicen Paris Region & ITC Health cluster Paris Region. CADI™ Discovery is, since 2004, the first and only to date operational "Mechanisms-based Medicine" platform, that addresses two of the major life sciences issues: - the complexity of life’s mechanisms with its “Architectural Principle”, - the significant unreliability of scientific and clinical publications through its “Negative Selection Principle”.