Short Bio

Julien Perez graduated from EPITA in 2005. He then earned a master’s degree in applied mathematics from Université Paris-Dauphine in 2006, followed by a Ph.D. in machine learning from Université Paris-Sud in 2010. His dissertation, supervised by Cécile Germain Renaud and Balázs Kégl within the TAO (Theme: Learning and Optimization) group of the Laboratoire de Recherche en Informatique (LRI), focused on non-Markovian decision processes and deep memory recurrent neural networks.

After completing his Ph.D., he undertook a postdoctoral fellowship at Télécom ParisTech, and later became a lecturer at Université Paris-Est Créteil. In 2013, he joined Naver Labs Europe (formerly Xerox Research Centre Europe), where he led research on deep learning, reinforcement learning, automatic reading, and dialogue systems.

Since March 2025, he is holding an Habilitation à Diriger des Recherches, "Contribution à la decision différentiable, raisonnement et sens commun". His current research involve generative model alignement and safety with application to pedagogy.