Tom Andersson
- Machine Learning Research Scientist
Biography
I am an ML Research Scientist at the BAS Artificial Intelligence Lab (AI Lab) and funded by the Alan Turing Institute’s AI for Science programme. In my work, I aim to enable scientific progress through the application of machine learning algorithms to large datasets from climate models, satellites, and in-situ stations. I’m working on combining satellite and surface data to inform weather sensor placement in Antarctica (more information on the project webpage). My other research work involves the development of a deep learning-based sea ice forecasting system, ‘IceNet’ (initial study published in Nature Communications, for which I was awarded the World Meteorological Organization Young Scientist of the Year Award 2022).
Before BAS, I studied Information & Computer Engineering at Cambridge University, graduating with a double-first. My Master’s research at the Computational & Biological Learning Lab involved the development of a machine learning algorithm for automatically dating ice cores based on seasonally-dependent ice core chemicals. My thesis, ‘GPCore: A Gaussian Process Approach for Inferring Ice Core Chronologies’, was awarded a Distinction and is available on my GitHub.
Supervisory positions:
- Co-supervisor of Ellie Krige’s Cambridge University MSci project: ‘Using IceNet to predict and understand the freeze-up and break-up dates of sea ice in Hudson Bay, Canada’
Research interests
- Explainable deep learning for climate prediction
- Arctic sea ice forecasts for conservation and ecosystem management
- Combining gridded climate data with off-grid surface station observations
- Automated ice core dating algorithms
Collaborations
Alan Turing Institute (ATI) | Computational and Biological Learning Lab (CBL), University of Cambridge | UCL Centre for Artificial Intelligence | WWF
Publications from NERC Open Research Archive
2021
Andersson, Tom R. ORCID record for Tom R. Andersson, Hosking, J. Scott ORCID record for J. Scott Hosking, Pérez-Ortiz, María, Paige, Brooks, Elliott, Andrew, Russell, Chris, Law, Stephen, Jones, Daniel C. ORCID record for Daniel C. Jones, Wilkinson, Jeremy, Phillips, Tony ORCID record for Tony Phillips, Byrne, James ORCID record for James Byrne, Tietsche, Steffen, Sarojini, Beena Balan, Blanchard-Wrigglesworth, Eduardo, Aksenov, Yevgeny ORCID record for Yevgeny Aksenov, Downie, Rod, Shuckburgh, Emily ORCID record for Emily Shuckburgh. (2021) Seasonal Arctic sea ice forecasting with probabilistic deep learning. Nature Communications, 12. 12 pp. 10.1038/s41467-021-25257-4
2020
Turner, John ORCID record for John Turner, Guarino, Maria Vittoria ORCID record for Maria Vittoria Guarino, Arnatt, Jack, Jena, Babula, Marshall, Gareth J. ORCID record for Gareth J. Marshall, Phillips, Tony ORCID record for Tony Phillips, Bajish, C.C., Clem, Kyle, Wang, Zhaomin, Andersson, Tom ORCID record for Tom Andersson, Murphy, Eugene J. ORCID record for Eugene J. Murphy, Cavanagh, Rachel ORCID record for Rachel Cavanagh. (2020) Recent decrease of summer sea ice in the Weddell Sea, Antarctica. Geophysical Research Letters, 47. 10.1029/2020GL087127
2021
BLOG: Predicting September 2021 Arctic sea ice using artificial intelligence
Blog 24 September, 2021
2021
Artificial intelligence to help predict Arctic sea ice loss
News 26 August, 2021