After a four year stint as an analyst modelling payments data to detect and prevent financial crime, I returned to QUT in mid-2019 to complete the honours component of my Bachelor of Mathematics. My project focussed on novel sequential Monte Carlo methods for approximate Bayesian computation (ABC). With support from the QUT Centre for Data Science I am now continuing my research efforts in this area as a PhD student focussing on dimensionality reduction for ABC. To progress the field in this area I aim to develop efficient sequential algorithms that can automatically generate and/or choose summary statistics for complex implicit models.
My research interests include Bayesian statistics, likelihood-free inference, machine learning, and computer science. I am very enthusiastic about high performance computing and the latest computer hardware.