Biography

I am a Data Scientist at the BAS Artificial Intelligence Lab (AI Lab), supervised by Dr Scott Hosking and funded by the Alan Turing Institute’s Data Science for Science programme. I recently graduated with a double-first in Information & Computer Engineering from the University of Cambridge. Before graduating, 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 to read here.

In general, I am interested in the use of advanced machine learning algorithms with vast datasets from climate models, satellites and in-situ stations. My research at BAS currently focuses on understanding the drivers of Arctic sea ice loss, particularly in the Barents-Kara sea, with a view to improving the prediction of future sea ice extent.

Research interests

• Causal link discovery in complex climate systems
• Gaussian process modelling for climate forecasting/paleoclimate
• Machine learning approaches for data assimilation in climate models
• Automatic dating of ice cores

Collaborations

Alan Turing Institute (ATI) | Computational and Biological Learning Lab (CBL), University of Cambridge | UCL Centre for Artificial Intelligence