Thomas Cowperthwaite
I am an Applied Mathematics PhD student at the University of Cambridge, working on probabilistic machine learning, specifically generative models. My research focuses on Gaussian processes and operator learning with an emphasis on machine learning for scientific applications. I'm supported by the AI4ER CDT and supervised by Dr Henry Moss.
Publications
Scalable Gaussian Process Flows
Thomas Cowperthwaite, Lachlan Astfalck, Henry Moss, Louis Sharrock (2026).
PDF ·
Conditioning Gaussian Processes on Almost Anything
Henry Moss*, Lachlan Astfalck*, Thomas Cowperthwaite, Colin Doumont, Sam Willis, Philipp Hennig, Christopher Nemeth, and Andrew Zammit-Mangion. arXiv preprint arXiv:2605.21041 (2026).
arXiv ·
GPGreen: Learning Linear Operators with Gaussian Processes
Thomas Cowperthwaite and Henry Moss. 1st Workshop on Differentiable Systems and Scientific Machine Learning at EurIPS (2025).
For the latest record of my work, see my Google Scholar.
News
September 2026
🎙️ Presenting Conditioning Gaussian Processes on Almost Anything at the Non-Equilibrium Sampling workshop at Newcastle University.
May 2026
📝 Conditioning Gaussian Processes on Almost Anything is available as an arXiv preprint.
February 2026
🌍 Spending three days visiting the Methods of Machine Learning group at the University of Tübingen.
February 2026
🎙️ Presenting GPGreen at the UK Atomic Energy Authority (UKAEA).
December 2025
📝 Presenting a poster on GPGreen: Learning Linear Operators with Gaussian Processes at the 1st Workshop on Differentiable Systems and Scientific Machine Learning at EurIPS.
Blog
Longer notes and updates now live on the blog.