Greater Paris Metropolitan Region
Digital health entrepreneur focused on the future of medical software. I’m passionate about turning innovation and AI into practical tools that improve healthcare workflows, enhance care coordination, and make medical technology truly useful for clinicians and patients.
I help organizations turn data and artificial intelligence into real operational value. My work focuses on bridging the gap between strategic vision, technology, and real-world use cases. I support companies in defining their data and AI strategy, identifying high-impact opportunities, and designing scalable architectures that transform data into actionable insights and intelligent products. My areas of expertise include: - AI strategy & implementation: identifying relevant AI use cases, designing AI-enabled products, and integrating generative AI into business workflows - Data strategy & governance: defining data models, governance frameworks, and scalable data architectures - Digital product design: translating business and operational needs into robust, user-centered digital solutions - Regulated environments: designing compliant, secure data and AI systems for sensitive domains I particularly enjoy working at the intersection of innovation, product thinking, and advanced technologies, helping organizations move from experimentation to real deployment of AI and data-driven solutions.
I lead the development and commercialization of an innovative Real World Data (RWD)-based service designed to support medical device manufacturers in meeting the stringent post-market follow-up (PMF) requirements set by their Notified Bodies. This service helps manufacturers ensure regulatory compliance, improve device safety monitoring, and enhance overall product lifecycle management.
I established and lead a dedicated AI Innovation department at Quinten Group, driving the acceleration of time-to-market for cutting-edge AI technologies. My work focuses on advancing the group’s capabilities by staying at the forefront of AI research and practical applications, ensuring we deliver next-generation solutions to our clients. Key Focus Areas: - Large Language Models (LLM) & Natural Language Processing (NLP): Pioneering advancements in LLM and NLP technologies, leading to the development of the first BERT-based LLM specifically tailored to clinical and biomedical French text, achieving state-of-the-art performance in the processing and understanding of domain-specific language. - MLOps & Model Deployment: Streamlining the operationalization and deployment of AI models - Cultivate a Research & Innovation Culture: Establishing strong academic partnerships and promoted the publication of scientific research, enhancing our visibility and credibility in the industry while contributing to advancements in the field. - Promote AI Adoption: Conducting client and university training sessions, organizing hands-on workshops, and delivering expert talks at industry conferences.
I lead and manage a high-performance organization focused on driving growth, optimizing efficiency, and delivering impactful results in Data and AI solutions. Key responsibilities include: - Scaling Teams: Successfully scaled a team from 10 to 50 people, creating structures to support rapid growth while maintaining high performance and cost efficiency. - Operational Excellence: Streamlined processes across all levels of the organization to boost performance, reduce costs, and continuously improve quality. - Customer-Centric Approach: Ensured exceptional customer satisfaction by aligning our services with evolving client needs and competitive market dynamics. - Talent Development: Fostered a culture of growth by developing team skills and promoting continuous learning, ensuring we remain at the forefront of Data and AI innovations. - End-to-End Project Leadership: Led projects from pre-sale through delivery and beyond, overseeing scoping, production, and the industrialization of AI and analytics solutions. - Strategic Client Partnerships: Supported large national and international clients in Data and AI strategic initiatives, generating significant impacts across diverse sectors, including Healthcare, Banking, Insurance, Luxury, Industry, Web & Media, and Cosmetics. Selected Achievements: - Global Pharma Collaboration: Built and led a team of 20 Data Scientists and Project Managers for a global multi-year contract with a top pharmaceutical company. The team leveraged Real-World Data to enhance every stage of drug development. - AI-Driven Banking Software: Developed and implemented an AI-based solution that enabled over 1,000 bank advisors to better serve their clients, improving customer care and advisory processes. - Healthcare Innovation: Led the development of an AI-powered medical software designed to identify iatrogenic risks associated with prescriptions, supporting healthcare professionals in making informed drug delivery decisions.
I led the development and structuring of business solutions tailored to the needs of the medical device industry, with a strong focus on regulatory compliance, real-world evidence, and strategic partnerships