Summary
Julien Perez is an associate professor and seasoned research leader specializing in machine learning, deep learning, and reinforcement learning, with over a decade of experience translating academic advances into industrial research and patents. He leads work on scalable and automated ML methods applied to automated decision-making, relational learning, dialog systems and machine reading, and has headed the Machine Learning and Optimization group at Naver Labs Europe. His background combines a PhD on non‑Markovian decision processes and deep recurrent networks with hands-on projects in robotics (active SLAM), dialog state tracking and customer modeling, reflecting both theoretical depth and practical impact. Julien’s career spans academia and industry (Xerox/NAVER), including supervising PhD students and filing ~20 patents, signaling a knack for moving ideas from theory to deployable systems. Based in Paris, he recently completed an Habilitation in AI, underscoring continued commitment to research leadership and mentoring.
9 years of coding experience
10 years of employment as a software developer
Habilitation à Diriger des Recherces, Artificial Intelligence, Habilitation à Diriger des Recherces, Artificial Intelligence at Université Grenoble Alpes
Doctor of Philosophy (PhD), Machine Learning, Obtention avec Félicitations du Jury, Doctor of Philosophy (PhD), Machine Learning, Obtention avec Félicitations du Jury at Université Paris Sud (Paris XI)
Master's degree, science informatique, systèmes intelligents, Master's degree, science informatique, systèmes intelligents at Université Paris Dauphine
Engineer's degree, Ingénierie informatique, Engineer's degree, Ingénierie informatique at EPITA: Ingénierie Informatique
English