Summary
Paul Ecoffet is a Machine Learning Engineer based in Paris with 13 years of experience bridging academic research and product-focused ML for real-world systems. He holds a PhD in AI and robotics from Sorbonne Université and has published multiple peer-reviewed papers on collective efficiency emerging from individually learning agents, built with modern C++ robotic simulators. At Qualcomm he designs hand-tracking algorithms for XR, applying perception and real-time constraints to deliver robust interactive experiences. His background includes teaching core programming and AI courses, plus research on vocal learning in songbirds, reflecting a strong interdisciplinary bent across cognition, modeling, and engineering. Comfortable moving ideas from simulation to production, he combines rigorous theoretical foundations with practical system implementation skills.
13 years of coding experience
Docteur en informatique, Artificial Intelligence, Docteur en informatique, Artificial Intelligence at Sorbonne Université
Master, Recherche en Sciences Cognitives filière Modélisation mathématique et informatique, Mention Bien, Master, Recherche en Sciences Cognitives filière Modélisation mathématique et informatique, Mention Bien at Ecole normale supérieure
Licence, Mathematics and Computer Science, Mention Très Bien, Licence, Mathematics and Computer Science, Mention Très Bien at Université de Bordeaux
French, English