My group’s research involves the application of AI and data science techniques on vast and various environmental datasets, including the output from climate models, and satellite and weather station data.

We aim to identify and understand the key mechanisms that drive year-to-year climate variability over vulnerable regions, the changes in frequency and strength of extreme weather events, and to reduce uncertainties in future climate predictions.

In order to support business and policy decision making we aim to apply AI and data pipelines that are interpretable (not ‘black-box’), probabilistic, and reproducible.


I have secured over £7m in grant funding from public and private sectors as both Principal-Investigator (PI) and Co-Investigator (Co-I). These include:


Microsoft AI for Earth | Microsoft Research Lab - Cambridge | European Space Agency (ESA) | UK Met Office | European Centre for Medium-Range Weather Forecasts | Science and Technology Facilities Council | University of Cambridge | University of Lancaster | University of Oxford | Google DeepMind | World Wide Fund for Nature | Max Fordham | Mott MacDonald | Centre for Science and Policy (CSaP) | Department of Business Environment, Innovation and Skills (BEIS) | Department of Food and Rural Affairs (DEFRA) | University College London | UCL Centre for Artificial Intelligence | University of Exeter | National Oceanography Centre | Alfred Wegener Institute for Polar & Marine Research