My research interests are directed towards probability density estimation using score matching, for unnormalised models and their interesting applications – such as on a manifold or a truncated space. I seek to find new and interesting ways for which we can all do statistics, data science and machine learning. What if we don’t have a full dataset available? We could be artificially limited by a country’s borders, or cut off by a limited parameter space. Maybe we also encounter inaccuracies due to our Euclidean approximation in geographical applications. My research aims to fix these problems and provide novel solutions.
I am originally from Birmingham and then the South West, in that order. My undergraduate degree was at the University of Exeter, where I studied a masters in mathematics; mostly focused on statistics, machine learning and applications to the climate and climate change. I am now in the second year of my PhD as part of the first Compass CDT cohort.