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 focused on novel sequential Monte Carlo methods for approximate Bayesian computation (ABC). 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.
