Understanding and predicting environmental change



Scientists, Engineers, Research Community Leaders

About me

I am a Co-Director for the Turing Research and Innovation Cluster in Digital Twins (TRIC-DT), leading a team of scientists and engineers across both the Alan Turing Institute and the British Antarctic Survey. Our aim is in 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.

Career History

Other Roles



  • Waves and geosciences spring school: Infrasound and beyond, l’Ecole Centrale de Lyon and Sorbonne University, 2022
  • Machine Learning and the Physical World, University of Cambridge, 2020-2021
  • AI for Earth and Environmental Sciences, ClimBEco Graduate Research School, Lund University and University of Gothenburg, 2021
  • Environmental Data Analysis, University of Cambridge, 2019
  • Earth System Science Spring School, National Centre for Atmospheric Science, UK, 2010-2014


I have secured over £15m in grant funding from public and private sectors as both Principal-Investigator (PI) and Co-Investigator (Co-I). These include:


2023/06 - Secured the role of Co-Director, Turing Research and Innovation Cluster in Digital Twins (TRIC-DT), The Alan Turing Institute, UK

2023/04 - Invited to Co-Chair the 12th International Conference on Climate Informatics, University of Cambridge, UK

2022/03 - Invited to join 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 - Secured the role of Senior Expert to the NERC Constructing a Digital Environment (CDE) Programme

2021/02 - 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, 500+ members, The Alan Turing Institute

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

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

2020/04 - Started secondment to the Alan Turing Institute under the Data Science for Science programme

2019/09 - Stated role of 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 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 - Completed PhD, “The impact of deep convection on the structure of, and transport through, the tropical tropopause layer”, University of Cambridge, UK

2005/10 - Started PhD, University of Cambridge, UK .