Dr Daniel Kennedy

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.