Camille Pradel is a Chief Scientific Officer and AI specialist with 14 years of experience building machine learning products from research to production. Holding a PhD in Artificial Intelligence and an engineering degree from INSA Toulouse, she has deep expertise in information and knowledge extraction, representation, and query systems. Camille has led data and research teams across startups and academia, including roles as Chief Data Scientist at Geotrend and Head of R&D at Synapse Développement. Based in Toulouse, she combines rigorous academic training with hands-on product delivery, translating complex semantic models into deployable solutions. Known for bridging theory and practice, she focuses on making structured knowledge useful for real-world decision-making. Her career reflects a consistent trajectory from teaching and research into strategic technical leadership.
14 years of coding experience
6 years of employment as a software developer
Ph.D. in Artificial Intelligence, Ph.D. in Artificial Intelligence at Université Paul Sabatier Toulouse III
Engineering diploma in Computer Science, Computer Science, Engineering diploma in Computer Science, Computer Science at INSA Toulouse - Institut National des Sciences Appliquées de Toulouse
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