Victor Bouvier

Victor Bouvier is a Research Scientist at Dataiku since October 2021, specializing in Uncertainty Quantification. Prior experience includes a PhD student at Sidetrade from May 2017 to September 2021, focusing on developing adaptive models with invariant representations, and roles as a Data Scientist and Data Scientist Intern. Victor has also served as a lecturer in Deep Learning at CentraleSupélec, where responsibilities included managing a 28-hour course in the MSc AI program. Earlier positions include project management and mathematics teaching at MyPrepa, an internship at Universitat Politècnica de Catalunya studying wave propagation in heterogeneous media, and participation in a research-focused program at Laboratoire MSSMat. Academic credentials include a PhD in Artificial Intelligence and an engineering degree in Applied Mathematics - Data Science from CentraleSupélec.