Summary
Eric Darve is a Stanford professor and Faculty Director of the Institute for Computational and Mathematical Engineering with 13+ years of academic leadership driving research at the intersection of computational mathematics, machine learning, and high-performance computing. His work spans AI for Science, LLM interpretability and safety, agentic workflows, knowledge graphs, and cybersecurity, with deep technical roots in numerical linear algebra, fast algorithms, and GPU-parallel implementations. He has a track record of translating theoretical advances—fractional PDEs, physics-informed learning, and unsupervised anomaly detection—into scalable, performance-minded systems used in scientific and security contexts. Trained at École normale supérieure and Pierre & Marie Curie University, he combines rigorous mathematical foundations with practical HPC expertise, and is notable for bridging molecular simulation origins to contemporary AI reasoning and LLM safety research.
12 years of coding experience
17 years of employment as a software developer
Bachelor of Science - BS, Applied Mathematics and Computer Science, Bachelor of Science - BS, Applied Mathematics and Computer Science at Ecole normale supérieure
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at Université Paris Dauphine - PSL
PhD, Computational Mathematics, PhD, Computational Mathematics at Pierre and Marie Curie University