Head of Catastrophe Risk Financing
Patrick develops quantitative methods for forecasting and risk analysis using statistical techniques to combine information from climate models, numerical weather prediction and historical observations. Applications include wind power generation, energy demand, catastrophe modelling and the economic impacts of climate change.
CUF Lecturer in Mathematics
My main research interests lie in time series analysis, in the bifurcation theory of nonlinear ordinary and partial differential equations, arising in geophysical fluid mechanics. There is a new, exciting possibility for potential DPhil students in a collaboration with members of the BBC climateprediction.net team, based in Oxford, to perform an uncertainty analysis of forecasting using data from climate models.
Post Doctoral Research Associate
Mohammad’s research is to develop water system models for the Thames basin and on a national scale as part of the MaRIUS. The long-term goals are to assess vulnerability of different users to drought events in presence of deep uncertainty caused by climate change.
University Lecturer in Statistics
Geoff teaches probability, statistics and applied mathematics. He is interested in developing new methodology and algorithms for statistical inference. He provides mathematical support for scientific research in a wide range of fields.