Speaker Profile

Ph.D., CEO, Quinten Healthcare

Billy graduated from Ecole Polytechnique, AgroParisTech and holds a multiple-awards-winning PhD in Decision Mathematics from Paris-Dauphine University. Over the past 20 years, Billy has developed quantitative methodologies to inform and support strategic decision making in healthcare. He created and led data-driven decision support teams in major public and private organisations. He served as statistical or modeling expert for public Health Authorities (e.g. EFSA, ANSES, WHO, Gates Foundation) and supported 100+ regulatory or reimbursement dossier submissions worldwide. Billy authored 100+ publications, and led hundreds of data modeling or machine learning projects. He is now CEO of Quinten Health, the Real-World Disease Modeling company.

AI and Data Science Showcase:
Quinten Health

As a European leader in artificial intelligence and machine learning, Quinten Health masters interpretable real-world data science, together with predictive disease modeling and cohort simulations. Quinten Health accelerates, de-risks and optimizes data-driven and value-based decision making for health agencies, care providers and pharma industry.

AI-powered Disease Modeling in Real-world for Optimal Decisions
The purpose of this talk is to propose a regulatory-grade, data-integrative and disease-centric approach to accelerate and de-risk trials while maximizing the real-world value of the products in development. We use reference disease modeling plaftorms enabling for virtual cohort simulations.

 Session Abstract – PMWC 2022 Silicon Valley

Track 7 - June 28 10.00 A.M.-1.15 P.M.,Track 7 - June 29 11.00 A.M.-1.15 P.M.,Track 7 - June 30 9.00 A.M.-11.15 A.M.

The PMWC 2022 AI Company Showcase will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.


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