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 monitoring, understanding, predicting and designing solutions for 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
Tracking iceberg populations
Using machine learning to develop new methods to detect and track icebergs in radar satellite imagery
AI and Digital Twinning for Decarbonisation
AI and Digital Twinning to achieve carbon reduction on-board RRS Sir David Attenborough
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
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
News
2022/03 - Joined the Digital Research and Infrastructure Group (DRIG), to deliver NERC’s 10-year Digital Strategy
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