I lead a team of scientists and engineers across both the British Antarctic Survey and The Alan Turing Institute who are focused on the development of AI and digital twin technologies for understanding, monitoring and predicting environmental change.

Our projects include the intelligent fusion of data from satellite and in-situ surface sensors to help understand our changing planet; probabilistic machine learning for localised climate impacts; AI for seasonal sea ice forecasting and improving climate models; and computer vision toolkits for tracking environmental change and wildlife monitoring.

I am also a Co-Director for the Centre for Doctoral Training (CDT) in the Application of AI to the study of Environmental Risks (AI4ER), a £6m UKRI funded programme to train over 50 top students to become future global leaders in environmental science.

Team Highlights

IceNet: AI for seasonal sea ice forecasting

Using machine learning techniques to predict and understand the complex drivers of sea ice

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AI for Environmental Monitoring

Blending satellite, surface and simulation data

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Tracking iceberg populations

Using machine learning to develop new methods to detect and track icebergs in radar satellite imagery

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AI and Digital Twinning for Decarbonisation

AI and Digital Twinning to achieve carbon reduction on-board RRS Sir David Attenborough

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Wind energy in a 1.5˚C world

The UK and large parts of Europe could become windier if global temperatures reach 1.5˚C above pre-industrial levels

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The Environmental Data Science book

An open and community-driven online resource to showcase and support the publication of data, research and open-source tools for collaborative, reproducible and transparent Environmental Data Science

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News

2022/03 - Appointed as BAS Science Leader for AI, Joined the BAS Science Strategy Executive Board

2022/02 Joined the Advisory Group for the UK AI Research Infrastructure Review, a key component of the UK’s National AI strategy

2021/05 - Appointed as a Senior Expert to the NERC Constructing a Digital Environment (CDE) Programme

2021/02 - Became Principal Investigator (PI) to a multi-institution research programme, Environmental monitoring: blending satellite and surface data

2020/10 - Joined the Steering Committee for the Environment and Sustainability Interest Group, The Alan Turing Institute

2020/09 - Promotion, ~equivalent to Reader/Associate Professor

2020/06 - Joined the Steering Committee for The Alan Turing Institute-UK Met Office operational alliance

2020/04 - Seconded to The Alan Turing Institute to lead the Environmental Theme under the Data Science for Science programme

2019/09 - Started new role as Co-Director for the UKRI Centre for Doctoral Training in the Application of AI to the study of Environmental Risks (AI4ER), led by University of Cambridge and BAS

2018/06 - Established and Leader of the BAS Artificial Intelligence (AI) Lab

2017/09 - Awarded The Laws Prize, British Antarctic Survey Club

2016/09 - Promotion, ~equivalent to Lecturer. Changed role to “Environmental Data Scientist”

2016/05 - Appointed as Secretary, Global Environmental Research Committee, The Royal Society

2014/09 - Appointed as Innovation Champion, BAS

2011/01 - Co-founded the Cambridge Centre for Climate Science (CCfCS)

2009/12 - Started at British Antarctic Survey (BAS) as a “Global Climate Modeller”, tenured/open-ended position

2009/09 - Submitted PhD Thesis, “The impact of deep convection on the structure of, and transport through, the tropical tropopause layer”, University of Cambridge, UK

2005/10 - Started PhD at the University of Cambridge, UK