About
Dr Linley received the Quantum Fields and Fundamental Forces MSc from Imperial College in 2017, and his PhD in Gravitational Wave Data Analysis from the University of Glasgow in 2022. His doctoral work consisted of focused analyses of a broad range of physical phenomena and theories of gravitation that imprint in gravitational wave signals, as well as presenting a novel technique to simplify difficult computational problems related to the data analysis of those signals, resulting in being awarded the Kelvin Award for his thesis. He joined the School of Mathematics and Statistics at Glasgow University in 2024 as a Research Associate, and is currently working on modelling carbon emissions associated to UK household energy consumption in partnership with NatWest Group.
Research interests
My current research focuses on statistical modelling and predictive analytics, particularly in the context of energy systems and environmental data. I am interested in the development and evaluation of statistical and machine learning models, with a strong emphasis on handling uncertainty, structured data dependencies, and model interpretability.
- Bayesian inference and parameter estimation
- Flexible, distributional regression modelling, e.g. GAM, GAMLSS, qGAM
- Spatio-temporal modelling - structured dependencies in energy & environmental data.
- Regression & supervised learning - forecasting and decision-making applications.
- Model selection & evaluation - cross-validation, information criteria, likelihood-based approaches.
- Energy & environmental applications - probabilistic forecasting, emissions modelling, uncertainty quantification.
More broadly, I’m interested in the intersection of statistical modelling, applied machine learning, and decision-making under uncertainty, especially in high-impact domains such as energy, climate, and sustainability.
I also have strong interests in Lorentzian geometry, general relativity, and variational principles, particularly in the context of Lorentzian manifolds, as well as gravitational wave astronomy and data analysis (particularly associated to the upcoming LISA mission), and information geometry. I have a keen interest in music and composition, and hold a BMus degree in composition from the Royal Academy of Music.