The main focus of my work is understanding the risks posed to society by extreme climate events and how these are being affected by climate change. I am part of the Climate Dynamics group, and this provides a vibrant environment for students and early career researchers.

One particular area of research is producing, verifying and applying physically-based simulations of the atmosphere or climate and understanding extreme atmospheric weather systems. One of my partnerships is with climateprediction.net, who use distributed computing to produce very large simulation datasets containing thousands of examples of possible weather systems, facilitating the study of extremes (you can even volunteer your own computer's time for this, if you would like). I have led the scientific development of a high-resolution global atmospheric model (by the standards of typical models) to use in that system. 

I also work on applying AI and machine learning methods to improve our climate predictions, through improving our climate simulators and post-processing of their output, thinking particularly about extreme weather. I am a Turing Fellow at the Alan Turing Institute. 

My past work has included fundamental large-scale atmospheric dynamics and improving climate model parameterisations, in particular studying the effects of stochastic parameterisation. My degree is in Physics.

I am also very interested in improving the ways that science is done and our working environment - a particular topic of interest at present is finding ways to improve students' and researchers' mental health - see for example this presentation. I am a university Mental Health Champion.