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 fully reproducible.
I have secured over £6m for BAS, as Principal-Investigator and Co-Investigator on numerous grants. These include:
- Peruvian Glacier Retreat and its Impact on Water Security (Peru GROWS), NERC - Newton-Paulet Fund, 2019-2022
- Understanding Arctic sea ice loss, The Alan Turing Institute, 2019-2021
- Improving tracking of iceberg populations in the Southern Ocean, The Alan Turing Institute, 2019-2021
- Emergence of Climate Hazards, NERC Highlight Topic, 2019-2022
- Future Water Security for communities reliant on the Upper Indus, Himalayas, NERC, 2017-2020
- The North Atlantic Climate System Integrated Study (ACSIS), NERC, 2016-2021
- Ice shelves in a warming world: Filchner Ice Shelf system, Antarctica (FISS), NERC, 2015-2020
- Climate risk assessment of supply chains to support resilience-building, EPSRC Institutional Grant (Led by Cambridge University), 2016-2017
Google DeepMind | European Space Agency (ESA) | European Bank for Reconstruction and Developement | Max Fordham | Mott MacDonald | University of Cambridge | University of Lancaster | Centre for Science and Policy (CSaP) | Department of Business Environment, Innovation and Skills (BEIS) | Department of Food and Rural Affairs (DEFRA) | University College London | University of Exeter | National Oceanography Centre | UK Met Office | Alfred Wegener Institute for Polar & Marine Research | UCL Centre for Artificial Intelligence