Bio


In October 2013 I began a Leverhulme Early Career Fellowship at the University of Reading, working on an end-user focussed evaluation of global flood forecasts. I will be developing new methodologies for evaluating the skill of these forecasts at the spatial and temporal scales relevant to end-users, and promoting and documenting an active dialogue between the forecasters and end-users to help guide the use and development of the forecasting system. Please get in touch if you are interested in the project, further details will follow!

My fellowship followed a short time in a post-doctoral position at the University of Oxford, working on an interdisciplinary project addressing the usability of probabilistic forecasts as part of the Oxford Martin Programme On Resource Stewardship, led by Tim Palmer and Steve Rayner with Sophie Haines and Ana Lopez as researchers. I continue to work with those involved in this project as an Associate Fellow of the Insitute for Science, Innovation and Society.

In early 2013, I successfully defended my PhD thesis (examined by Thorsten Wagener and Florian Pappenberger) in Geography at the University of Bristol. My thesis, titled 'The use of uncertain observed data for flood inundation modelling' quantified and addressed the impact of uncertainty in flood inundation modelling and developed methodologies for evaluating uncertain predictions of flood risk. One of the Chapters from this thesis has been published in the Journal of Hydrology, and two others are currently in review.

I have also undertaken research addressing the challenges of communicating and utilising complex ensemble model output. I was an Industrial Mathematics PhD intern at the UK Met Office, leading the UK Met Office Weather Game project with Professor David Spiegelhalter (Cambridge University) as the academic partner. As part of my involvement in the EU FP7 KULTURISK project I have also been involved in two research papers addressing end-user requirements for flood forecasting and climate prediction ensemble model output (see Research page).

University of Reading Webpage

University of Reading Blog