Summary
Hugo Laurençon is an AI research scientist based in Paris with seven years of experience bridging rigorous academic training (École des Ponts, ENS Paris‑Saclay, Sorbonne University PhD) and industry research at Hugging Face and Meta. He has led work on large models and massive datasets—contributing to projects like BLOOM‑176B and the ROOTS corpus—and focuses on GUI agents and realistic computer-use behaviors in recent deep research. His background spans ML for genomics, reinforcement learning inspired by neuroscience, and unsupervised language modelling, giving him a rare mix of theoretical depth and applied engineering. Known for tackling data‑scale challenges and model engineering in production contexts, he combines strong mathematical training with hands‑on system building. An understated strength is his cross‑disciplinary fluency: he translates insights from neuroscience and genomics into practical ML solutions.
7 years of coding experience
3 years of employment as a software developer
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at École des Ponts ParisTech
Master of Research, MVA: Mathematics, Machine Learning and Computer Science, 17.8/20, Master of Research, MVA: Mathematics, Machine Learning and Computer Science, 17.8/20 at École normale supérieure Paris-Saclay
PhD, Machine Learning, PhD, Machine Learning at Sorbonne Université
Classes préparatoires aux grandes écoles (CPGE), Mathematics and Physics, Classes préparatoires aux grandes écoles (CPGE), Mathematics and Physics at CPGE - Classes préparatoires aux grandes écoles
Exchange student, Mathematics and Computer Science, Exchange student, Mathematics and Computer Science at ETH Zürich