Summary
Xavier Bresson is an associate professor and director of the Graph Deep Learning Laboratory at NUS with over a decade leading academic teams and nine years of industry-facing experience in graph neural networks and deep learning. He combines a strong theoretical foundation (PhD, postdoc in mathematics) with practical impact, advising and deploying GNN solutions across recommender systems, knowledge graphs, molecular science, autonomous driving, and chip design for companies like Pinterest, Amazon, DeepMind, NVIDIA and Google. A prolific researcher and speaker—18,000+ citations, 60+ papers and invited talks at NeurIPS, ICML, KDD and top universities—he also organizes high-profile AI/ML conferences and has raised $2.5M in NRF funding. Xavier is an experienced educator and trainer who has taught AI to 1,000+ students, supervised 200+ applied projects, and authored extensive PyTorch exercises and lectures used internationally. Less obvious: beyond academia he translates research into enterprise learning programs for clients such as Deloitte, Apple and UBS, and maintains a sizable public footprint with 2,000+ GitHub stars and 75k+ YouTube views.
9 years of coding experience
12 years of employment as a software developer
M.Sc., Information Sciences, M.Sc., Information Sciences at École Supérieure d'Électricité
M.Sc., Control Theory and Signal Processing, M.Sc., Control Theory and Signal Processing at Paris-Sud University (Paris XI)
B.Sc., Theoretical Physics, B.Sc., Theoretical Physics at Aix-Marseille University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at EPFL (École polytechnique fédérale de Lausanne)