Learning, detailing and experimenting with using Gaussian processes for classification. Exploring how to use approximations to avoid unnecessary computational slowdowns with an MCMC sampler.
Modelling crimes in Chicago, using a public dataset. Logistic regression was used to predict whether an arrest would be successful or not, based on a number of predictors.
My Masters project, using extreme value theory to model maxima of precipitation across my home region. Comparing results from gridded model output and observations.