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Tackling climate change with machine learning
Who we are and what we do
Who we are and what we do
NCAS St Andrews is a new climate research group led by Dr. Ioana Colfescu. We address critical challenges in climate change science by integrating the fundamental principles of atmospheric physics and mathematics with advanced data-driven machine learning techniques.
Our team's experience ranges from climate dynamics, mountain waves, extreme weather, and Earth system modelling to dynamical systems theory.
NCAS St Andrews is a cooperation between the National Centre for Atmospheric Science and the University of St Andrews School of Earth and Environmental Sciences and the School of Mathematics and Statistics. We are actively seeking collaborators - don't hesitate to reach out! You can find our research vision here.
Contact: ioana.colfescu@ncas.ac.uk
Latest news
October 2026: Dr Siyan Dong has joined as a visiting researcher from the Chinese Meteorological Administration for 12 months funded through the China Scholarship Council. His work focuses on climate change attribution and while in St Andrews he will work on using machine learning techniques for down-scaling.
October 2026: Welcome to Lucie Robbins who joins as a PhD student using mathematical modelling and machine learning to study the climate and oceans of early Earth.
October 2026: A pre-print of Matt's paper, "Identifying Arctic states vulnerable to rapid ice loss with a convolutional neural network" is now available on ArXiv.
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