Curious, inventive and insightful, Michaël boasts an impressive range of experience in research, programming and business development that enable him to strike a balance between resolving complex problems and meeting real needs pragmatically and efficiently.
With a rigorous multidisciplinary background in mathematical physics and numerical biophysics, he has notably spearheaded several R&D projects in both academic and industrial settings. At the Montreal based AI Research Institute and Université de Montréal, for example, he focuses on modelling and forecasting the physical properties of complex systems using artificial intelligence. He has also developed a number of decision-making tools and applications, including one that aims to commercialize emerging environmental technologies.
Undoubtedly, Michaël has found his niche as research and innovation analyst at Nergica, where he combines his passions for data analysis and energy transition issues.
