Bio
Mark Hobbs is a Postdoctoral Research Fellow at the University of Exeter and The Alan Turing Institute, where he works under Professor Tim Dodwell in the data-centric engineering group. He gained his PhD in the Department of Engineering at the University of Cambridge (Christ's College), where his research focussed on the development of a numerical model to predict the failure behaviour of quasi-brittle materials. The model was developed using the peridynamic theory of solid mechanics, an integral formulation of continuum mechanics that allows for the natural inclusion of fracture behaviour.
More generally, he is interested in the emerging field of 'learning to simulate' - the application of modern machine learning methods to the field of computational mechanics. This is motivated by the need to reduce the computational expense of costly simulations, and to infer model parameters with a quantified level of uncertainty. Mark has broad research interests in peridynamics, computational mechanics, high-performance computing, simulation, model validation, and uncertainty quantification.