At the University of Reading, I was involved in designing and delivering the modules:

  • Convenor, Part 1 Probability and Statistics (lectures, tutorials, assessment)

  • Lecturer, Part 1 Real Analysis (tutorials)

  • Lecturer, Part 2  Probability and Statistical Theory (lectures, tutorials, assessment)

  • Lecturer, Part 3 Statistics Project (supervision, assessment).

Current PhD students

Jennifer Israelsson

Jennifer is a PhD student at the Mathematics of Planet Earth CDT, Reading. Jennifer's research project is concerned with detection of the effect of climate change on the likelihood of extreme rainfall/temperature events in Africa, and subsequently of adverse agricultural outcomes. The project will also assess the representation of extreme events in TAMSARv3. TAMSAT-ALERT works by driving an impact model with multiple possible realisations of the weather, and then interpreting the resulting ensemble in terms of risk.

This is a co-supervision with Prof. Emily Black (University of Reading) and Dr David Walshaw (Newcastle University).

Graham Davies

Graham's PhD research is being funded by EPSRC through an ICASE PhD studentship for the project "Building physical constraints into weather-related risk estimates". developed in close collaboration with EDF Energy UK.

When required to extrapolate to very rare return periods, standard extreme value models and their typified statistical inference techniques can lead to estimates with a large amount of uncertainty. In many situations, these estimates start to exceed plausible levels and such large values can reduce the confidence that end-users have in the final results from extreme value models. 
In the context of recent extreme weather events, natural hazard characterization continues to be an important area of research for EDF Energy. This PhD project is seen as a way to improve the natural hazard characterization approaches used within EDF Energy. The overall goal is to obtain more reliable constraints on extreme rainfall risk from historical records, using physical principles to draw inference from observable causes to certain extreme events. This project will combine new developments in extreme value theory with recent advances in approaches for understanding the physical drivers of extreme events.

This is a joint supervision with Dr Amelie Joly-Laugel and Dr Dafni Sifnioti (both at EDF R&D UK Centre) and Prof. Ted Shepherd (University of Reading).

Jessica Silva Lomba

Jessica currently holds a prestigious PhD studentship from the Portuguese Foundation for Science and Technology for developing research in statistics of extremes at the Centre for Statistics and Applications, University of Lisbon.

This is a joint supervision with Prof. Isabel Fraga Alves (University of Lisbon).