I have a BSc (first class honours) in Physics with Music from the University of Edinburgh, an MSc in Information Technology from Heriot-Watt University, and a PhD in statistical seismology from the University of Edinburgh. I have 2 years' experience in software engineering and have been working in a postdoctoral research position since October 2011.
I am currently working in the RACER consortium of the PURE project. My role here is to produce unified catalogue of UK earthquakes with moment magnitude estimates for all events, and full uncertainties on magnitude and location, for the purpose of an updated seismic hazard analysis. This involves the conversion of early instrumental and pre-instrumental information into moment magnitude. I am using Bayesian inference to capture the information and its uncertainty estimates (which are themselves uncertain!) and infer posterior distributions for the unknown quantities, according to a carefully constructed conceptual map of how the pieces of information relate to one another.
I am also involved in the REAKT project, for which I am developing techniques for using statistical models of earthquake occurrence (such as ETAS) to identify the existence or non-existence of changes in the basic rate of events within an earthquake time series. (This has relevance to, for example, the current question of whether the recent global cluster of megaquakes is statistically significant.) One of the methods I'm implementing for doing this involves the estimation of Bayesian evidence, or the Bayes Factor, which can be used to choose between models -- for example, between a stationary and a non-stationary model.
My PhD research explained the sometimes bimodal shape of the earthquake inter-event time distribution, in terms of the relative proportions of intervals that are between events related to each other (through aftershock triggering) and unrelated events. I went on to explore the effect of these relative proportions on the accuracy of parameter inversions for the ETAS model, based on 'synthetic' data from simulations of ETAS.