Summary
Camille Besse is a business architect and research-driven AI specialist with a PhD in sequential decision-making and over a decade of experience bridging academia and industry. Currently leading organizational architecture and digital transformation at CHU de Québec, he has managed scientific programs and led business analysis on 140+ AI projects at IID while advising on decision intelligence in the private sector. His track record includes supervising students, teaching programming and AI, and translating advanced machine learning into deployable solutions for healthcare and insurance partners. Camille is also active in OBVIA, contributing AI expertise to collaborative research, and uniquely combines technical depth with a practical focus on ethics and the secondary use of data in sensitive environments. An early career background in reinforcement learning and bioinformatics underpins his pragmatic approach to complex, multiagent problems.
10 years of coding experience
5 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Université Laval
Master Research, Artificial Intelligence, Master Research, Artificial Intelligence at Université Paul Sabatier Toulouse III
Master Pro, DESS Systèmes Intelligents, Master Pro, DESS Systèmes Intelligents at Université Paul Sabatier Toulouse III - UPSSITECH école d'ingénieurs
English, French, Spanish