Emmanuel Franck obtained his PhD in Applied Mathematics from Sorbonne University in 1992. After a 2-year post-doctoral fellowship at the Max Planck Plasma Physics Institute, he joined INRIA in 2014. He obtained his HDR in 2023 and is now in charge of the MACARON team on SciML. His current research focuses on numerical methods and reduced models for hyperbolic and kinetic equations. Within this framework, he has mainly studied the hybridization of classical approaches with deep learning approaches in order to obtain more efficient approaches with guarantees.