Théo Cheynel is a PhD student at Kinetix and LIX (Laboratoire d'Informatique de l'École Polytechnique). His work focuses on the intersection between computer animation and machine learning. In particular, he aims at bridging the gap between the outputs of statistical motion generation models, and the expectations of 3D artists, by taking inspiration from their worflows and adapting those principles to the design of machine learning architectures.