Jack specializes in advanced numerical modelling for finance, particularly Agent-Based Models. He joined Deloitte from the University of Oxford, where he was a Postdoctoral Researcher in the Department of Engineering Science. Jack holds a DPhil from Oxford which focussed on the development of advanced quantitative methods to model jet engine wear. He has a particular interest in the use of machine learning surrogate modelling for high-performance computing. He also holds an MRes in Gas Turbine Aerodynamics from the University of Cambridge and an MEng in Mechanical Engineering with Fluid Dynamics from the University of Warwick.