Research team
Emilien CHEN
Basile PARMELLI
Basile PARMELLI
Guanming obtained his M.Sc. in Systems Engineering from Beihang University and his engineering title from Ecole Centrale de Pékin in 2024. Since Nov. 2024, he is a PhD student at ChimieParistech - PSL University. His research focuses on representation learning and Bayesian optimization. More specifically, he explores how advanced representations can be leveraged to accelerate reaction development.
Basile PARMELLI
Basile PARMELLI
Basile PARMELLI
Basile obtained his M.Sc. in Molecular Chemistry from ENS-PSL University in 2024. He joined ChimieParistech for his Master internship, which was focused on the use of machine learning to accelerate the development of metal complexes with anti-cancer applications. Subsequently, he started a PhD, in co-supervision with Gilles Gasser and Kevin Cariou, on the same topic.
Bowen DENG
Basile PARMELLI
Marie WADIH
Bowen received his M.Sc. in Materials and chemical engineering from Guangxi University (China) in 2023. Since early 2024, he is a PhD student at ChimieParistech - PSL University. His research is focused on building innovative deep learning network architectures for rapid thermodynamic and kinetic screening of reaction pathways in chemical reaction networks.
Marie WADIH
Basile PARMELLI
Marie WADIH
Marie obtained her double BSc in Chemistry and Physics at Sorbonne University in 2024 and her MSc in Chemistry at Chimie ParisTech-PSL university in 2026. She is currently a PhD student focusing on computational reaction modelling, and the development of an ML framework based on GNNs for advancing sustainable plastic recycling, specifical
Marie obtained her double BSc in Chemistry and Physics at Sorbonne University in 2024 and her MSc in Chemistry at Chimie ParisTech-PSL university in 2026. She is currently a PhD student focusing on computational reaction modelling, and the development of an ML framework based on GNNs for advancing sustainable plastic recycling, specifically working on interfacial adhesion and dynamic covalent networks.
Javier E. ALFONSO-RAMOS
Javier E. ALFONSO-RAMOS
Javier E. ALFONSO-RAMOS
Javier received his B.Sc. in Chemistry from the University of Havana (Cuba) in 2022 and his PhD at ChimieParistech - PSL University in 2026. He is currently a postdoctoral researcher working on Bayesian optimization and automation of microfluidic reactors activated by plasma.
Maxime FERRER
Javier E. ALFONSO-RAMOS
Javier E. ALFONSO-RAMOS
Maxime received his Ph.D in Theoretical Chemistry and Computational Modelling from the Autonomous University in Madrid in 2024. Currently a postdoctoral researcher, his expertise lies in chemical reactivity, with a focus on systems able to capture carbon dioxide. His work integrates deep learning to automate and accelerate the exploration of the chemical reaction space.
Maximilian FLECK
Javier E. ALFONSO-RAMOS
Maximilian FLECK
Maximilian received his PhD in chemical engineering from the University of Stuttgart in February 2021. In June 2025, he joined PSL University as a research engineer in support of the CHEMAI major research programme. Within the context this university-wide initiative, he aims to assist research groups in embracing AI and ML approaches, gui
Maximilian received his PhD in chemical engineering from the University of Stuttgart in February 2021. In June 2025, he joined PSL University as a research engineer in support of the CHEMAI major research programme. Within the context this university-wide initiative, he aims to assist research groups in embracing AI and ML approaches, guiding the various chemistry departments of PSL toward the forefront of the ongoing data revolution in chemistry.