Summary
Jean-daniel Zucker is a senior researcher and engineering leader with over two decades of experience applying AI and machine learning to complex, multi-scale systems in health and environmental domains. Currently Deputy Director of UMMISCO (IRD/SU) and a long-standing Directeur de recherche at IRD, he combines deep expertise in interpretable and deep learning with agent-based and hybrid modelling to integrate omics, clinical and environmental data. He has led translational bioinformatics teams (ICAN) and taught data science at Université Paris Dauphine, bridging academic rigor with practical decision-support for cardiometabolic disease and epidemiology. His background uniquely blends classical AI foundations (PhD, HDR) and industry R&D experience since the 1980s, enabling both theoretical innovation and operational deployment of models. Notably, he focuses on multi-scale agent-based modelling from metagenomics and nutrigenomics data—an uncommon intersection that drives actionable insights for public health and environmental policy.
10 years of coding experience
Thèse d'habilitation à diriger les recherches (HDR), Artificial Intelligence, Thèse d'habilitation à diriger les recherches (HDR), Artificial Intelligence at Université Pierre et Marie Curie (Paris VI)
Bachelor of Science (B.S.), Mathématique Supérieure & Spéciale, Bachelor of Science (B.S.), Mathématique Supérieure & Spéciale at Lycée Louis-Le-Grand
DESS (Master), Computer Science in Life Science, DESS (Master), Computer Science in Life Science at Université René Descartes (Paris V)
DULCO, Chinese, DULCO, Chinese at Institut national des Langues et Civilisations orientales
Engineer's degree, Computer Science, Engineer's degree, Computer Science at ISAE-SUPAERO
English, German, Chinese, Vietnamese, French