Andrew is a doctoral student at the MRC Biostatistics Unit, University of Cambridge and The Alan Turing Institute. His doctoral project includes methods for modular Bayesian model construction, with applications to electronic health record data and intensive care unit delirium. Prior to this he was a Research Assistant on a joint project between The Alan Turing Institute and The University of Western Australia's Oceans Institute. Andrew has previously completed a bachelor's degree, with honours, and a master's in statistics at The University Of Western Australia. Outside of the academic realm, Andrew is a keen cyclist.
Andrew's interests include efficient, distributed computational techniques for Bayesian statistical inference. Specifically, his project is focused on developing and applying Markov melding, a new technique for simplifying the construction of large Bayesian models, and other Monte Carlo methods to better understand intensive care unit delirium. Andrew is also interested in statistical model development in modern probabilistic programming languages such as Stan and BUGS. He is supervised by Robert Goudie.