J. Zaffran obtained his PhD from the École Normale Supérieure de Lyon (ENSL) in France in 2014, specializing in molecular modelling applied to heterogeneous catalysis. He then completed a postdoctoral fellowship at the Technion–Israel Institute of Technology (IIT) in Israel, followed by a research position as an assistant professor at ShanghaiTech University in China. In 2021, he joined the National Centre for Scientific Research of France (CNRS) as a tenured researcher. Since 2023, he has been working at the Eco-Efficient Products and Process Laboratory (E2P2L), an international joint unit (IRL 3464) between the CNRS and Syensqo company, based in China. J. Zaffran specializes in developing predictive models that integrate density functional theory (DFT) calculations with artificial intelligence (AI) tools to rapidly forecast surface reactivity. This computational approach aims to assist experimentalists in designing solid catalysts for various applications. To date, he has authored or co-authored over thirty articles in high-impact, peer-reviewed journals and has supervised more than a dozen students, including PhD candidates and postdoctoral researchers. His interdisciplinary research covers a wide range of fields, with a particular focus on green chemistry and sustainable energy, and involves collaborations with international partners worldwide.
