Dr. James Kermode

Biography

James Kermode is a Professor of Materials Modelling in the School of Engineering at the University of Warwick. He currently leads the Predictive Modelling research cluster and serves as the director of the EPSRC Centre for Doctoral Training in Modelling Heterogeneous Systems (HetSys). His research focuses on developing multiscale materials modelling algorithms, with a specific interest in machine learning approaches and the quantification of uncertainty in electronic structure and atomistic models. Kermode's work includes novel techniques for predicting chemomechanical material failure processes, particularly in scenarios such as crack propagation in materials. He has contributed to the creation of data-driven interatomic potentials, allowing for accurate simulations of material behaviors across various temperature and pressure conditions. His research has been published in prominent journals, showcasing significant findings related to dislocation dynamics and the interactions between defects in materials. Kermode also engages in teaching predictive modelling and scientific machine learning. He holds a PhD in materials science and has held several academic positions at prestigious institutions, including previous roles at King's College London and the University of Cambridge.

Research Interests

Experience