Chiheb Ben Mahmoud

Chiheb Ben Mahmoud is a Junior Research Fellow and Swiss National Science Foundation Postdoctoral Fellow in the Department of Chemistry at the University of Oxford, working under Prof. Volker Deringer. He holds a PhD in Materials Science and Engineering from the Swiss Federal Institute of Technology (EPFL) and Master’s degrees from Ecole CentraleSupélec (France) and the University of Paris-Saclay (France). His research focuses on applying machine learning to model macroscopic properties of materials, with a particular emphasis on atomistic simulations and computational materials science.

Key research interests include graph neural networks for interatomic potentials, solid-state NMR predictions, and addressing data challenges in atomistic machine learning. His work bridges machine learning methodologies with fundamental materials science problems, such as charge density wave modulation and hot-electron dynamics. He collaborates with experts like Dr. Andy Anker and Dr. Dmytro, advancing interdisciplinary approaches to materials modeling.

No scientific awards are explicitly mentioned in the provided text. His advisory and grant activities are not detailed here, though his postdoctoral position suggests affiliation with the Swiss National Science Foundation. He contributes to Prof. Deringer’s research group, focusing on cutting-edge computational techniques for materials discovery and analysis.