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Jon studied Mathematics at Imperial College London and worked in the industry for six years at RBS and Barclays Capital. He completed his PhD in Statistics at the University of Warwick under Mark Girolami, with a thesis titled "Bayesian Probabilistic Numerical Methods". After completing his PhD, he spent several years as a Postdoctoral Research Assistant at the Alan Turing Institute and was later appointed as a Lecturer at the University of Southampton. His research interests focus on statistical computing and Bayesian methods, particularly in applied problems and numerical analysis. Jon is involved in research on probabilistic numerical methods, utilizing principles from probability and statistics to develop numerical methods that provide uncertainty quantification.