I am a Research Associate at Queensland University of Technology. My focus is no the application of apply data science and statistics to gain new insights and inform decision-making and policy. My main research interests are in statistical clustering, benchmarking, anomaly detection, and Bayesian data analysis. I completed my PhD thesis in statistal modelling applied to epigenetic data in 2019, where I developed novel modelling and methods for infering cell-type methylation patterns in blood from complex biologic data.
I completed a Bachelor of Mathematics/Bachelor of Applied Science (Physics) in 2013 at QUT. In 2014, I completed an Honours degree in Mathematics with a thesis on using finite mixture models to make inferences on Magnetic Resonance Imaging data of the human brain.
Bayesian statistical modelling
Doctor of Philosophy (Statistical Modelling)
Bachelor of Mathematics (Honours)
Bachelor of Mathematics/Bachelor of Applied Science (Physics)