Joachim Carvallo

Joachim Carvallo is a professional in the fields of data science, artificial intelligence, and actuarial science, currently serving as a Data Science, AI and Statistical Learning Engineer at Framatome since April 2024. Prior experience includes roles as a PhD student at CentraleSupélec and École de technologie supérieure, focusing on deep learning-based compression of dynamic 3D point clouds, and as a Middle School Mathematics Teacher at Lycée Janson-de-Sailly. Previously, Joachim held positions as an AI Research Engineer at MYTEAM.ai, where research led to multiple scientific publications, and an Actuarial Trainee at PRO BTP Groupe, contributing to the understanding of work disability through health expense data modeling. Additional earlier experiences involve actuarial internships where statistical methods were applied for predictive modeling. Joachim's educational background features a Post-Master's Degree in Artificial Intelligence from Télécom Paris, a Master's Degree in Actuarial Science from I.S.F.A, and a Bachelor's Degree in Mathematics from Université de Tours.