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Resume (English only)
Academic Achievements
Develops multiscale materials modelling algorithms and the software that implements them, with a particular focus on machine learning and data-driven approaches, and on quantifying the uncertainty in the output of electronic structure and atomistic models. Also active in applying parameter-free modelling techniques to make quantitative predictions of 'chemomechanical' materials failure processes where stress and chemistry are tightly coupled, e.g. near the tip of a propagating crack. Prominent examples include: QM-accurate modelling of dislocations; Machine Learning a General Purpose Interatomic Potential for Silicon.
Research Experience
Assistant Professor at the School of Engineering, University of Warwick from 2014-2016; Associate Professor from 2016-2019; Reader from 2019-2022; Professor of Materials Modelling from 2022-present; Director of the Warwick Centre for Predictive Modelling (WCPM) from 2021-present; Head of Research (Deputy Head of School) at the School of Engineering, University of Warwick from 2024-2025; Director of the EPSRC Centre for Doctoral Training in Modelling of Heterogeneous Systems (HetSys) from 2023-present; Research Cluster Leader for the Predictive Modelling cluster from 2025-present.
Education
PhD in the TCM Group at the Cavendish Laboratory, University of Cambridge from 2004-2007; Postdoc in the Department of Engineering at the University of Cambridge from 2007-2008; Postdoc in the Department of Physics at King's College London from 2009-2014.
Background
Professor of Materials Modelling in the School of Engineering at the University of Warwick, where he is also currently serving as Research Cluster Leader for the Predictive Modelling research cluster. He also directs the EPSRC Centre for Doctoral Training in Modelling of Heterogeneous Systems (HetSys) and the Warwick Centre for Predictive Modelling (WCPM) university research centre.