I am an Environmental Data Scientist, Head of the Artificial Intelligence (AI) Lab at the British Antarctic Survey (BAS) environmental research institute, and a Senior Research Fellow at The Alan Turing Institute the UK national institute for data science and AI. I am also a Co-Director for the University of Cambridge 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.

My research focuses on AI and data science methods to identify and understand the physical mechanisms that drive high-impact climate events with the aim to reduce uncertainties in future predictions and help inform environmental policy. From 2021 I will also lead a new research programme to develop Digital Twins of the natural environment.

We are hiring: Principal Researcher in Environmental AI


Deep learning for Arctic sea ice

Using machine learning techniques to understand the complex interactions between climate and Arctic sea ice

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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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Business risk from climate change

Quantifying risks of extreme weather and disruption to businesses and supply chains

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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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West Antarctic climate index

Disentangling environmental signals over the region with greatest climate variability in the Southern Hemisphere

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