I am currently a second year Computational Statistics and Machine Learning PhD student of STOR-i CDT at Lancaster University and am supported by ARC TIDE Hub 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.
News
[Jan 26] Presented BALLAST at the STOR-i Annual Conference in Lancaster and the Irish CRT Winter Symposium in Dublin.
[Dec 25] Our paper Skew-symmetric schemes for stochastic differential equations with non-Lipschitz drift has been accepted in the IMA Journal of Numerical Analysis! This is joint work with Yuga Iguchi, Sam Livingstone, Nik Nüsken, and Giorgos Vasdekis.
