As the Chief Uncertainty Officer at Maximum Information I lead applied research projects aimed at increasing societal resilience to disasters through evolving risk modelling of natural hazards. One such example is the development of a web-based tool, through an industry-academic collaboration, which opens a discussion on the use of decision-theory based frameworks in catastrophe risk modelling and management. The tool utilises Tropical Cyclone information and explores the potential use of seasonal hurricane predictions, and how an ensemble of models might influence insurance decisions during any given North Atlantic Hurricane season.

My main research interest while at the University of Bristol involved developing workflows to transfer global sensitivity analysis methods, tools (i.e. the SAFE software toolbox) and expertise to the (re)insurance industry. The aim was to more efficiently capture the uncertainties and sensitivities embedded in the mathematical models used in the (re)insurance sector, employing structured approaches to validate these models and to test the impact of assumptions on model predictions.

More info here: www.safe-insurance.uk