Tao Jiang

Computational chemist and CNRS engineer with extensive expertise in applying machine learning to chemical research. PhD in computational chemistry, several postdocs, then CNRS Ingénieur d'Études since 2017 — first at ENS Lyon's Chemistry Lab on ML-driven chemistry, then at the CNRS–Syensqo E2P2L joint lab in Shanghai on ML-guided biodegradation of specialty polymers.

Joined the HolobiomicsLab and the eDIAM team in September 2024. Works across ScienceXGuide and ML for mass-spectrometry data, advancing the integration of computational tools and AI in chemical and biochemical research.