I am currently a second year Computational Statistics and Machine Learning PhD student of STOR-i CDT at Lancaster University and am supported by TIDE in Australia. My research focuses on physics-informed machine learning, especially Gaussian processes, and decision-making under uncertainty, inspired by real-world applications in science and engineering. My supervisors are Henry Moss and David Leslie at Lancaster, as well as Lachlan Astfalck and Edward Cripps at UWA.
Previously, I did BSc Mathematics and Statistical Science at UCL where I was mentored by Sam Livingstone and received a Royal Statistical Society Award.
I am broadly interested in computational statistics and machine learning methodologies, and their applications in science and engineering. See here for more information.
