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. I develop probabilistic machine learning methods for decision-making under uncertainty, with a focus on models that incorporate physical structure and practical constraints. 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.
