Summary
Damien Graux is a Senior Science Manager specializing in AI/ML who blends a decade of research leadership in Knowledge Graphs, Semantic Web standards, and distributed query evaluation with hands-on design of complex, privacy-aware data pipelines. He has led European and industrial projects at institutions including Inria, Trinity College Dublin, Fraunhofer and Huawei, and now directs applied research at EcoVadis. His current focus explores the interface between structured knowledge bases and Large Language Models—using KGs to plan LLM actions and experimenting with KG construction driven solely by LLMs. Damien holds a PhD and a recent HDR in Computer Science from Université Grenoble Alpes, bringing both deep theoretical rigor and practical system-building experience. Notably, he combines expertise in SPARQL/RDF engines with a knack for translating academic innovation into production-ready ML solutions.
10 years of coding experience
3 years of employment as a software developer
Research Habilitation (HDR, Accreditation to supervise research), Computer Science, Research Habilitation (HDR, Accreditation to supervise research), Computer Science at Université Grenoble Alpes
Classes préparatoires aux grandes écoles (CPGE), Mathematics, Classes préparatoires aux grandes écoles (CPGE), Mathematics at Lycée Saint Louis
Master of Engineering - MEng, Telecommunications Engineering, Master of Engineering - MEng, Telecommunications Engineering at Télécom SudParis
French, English, Spanish, German