Dr Davies is a Senior Lecturer in Statistics in the School of Mathematics and Statistics, specialising in analytical methods for digital twins. His work sits at the interface of statistics, machine learning and AI, with a particular interest in how these areas can be combined to build robust, data informed models of complex systems. He also has an active interest in how generative AI tools can be used to enhance both research practice and teaching. His research focuses on analytical methods for digital twins, with applications in biodiversity, manufacturing and metabolomics. In 2021 he received the Royal Statistical Society's Mardia Prize to run workshops on analytics for environmental digital twins, and he continues to work with a range of external partners on applied projects in this area. He also leads collaborative work in computational metabolomics, including projects on health related quality of life in animals.