Mark is a lecturer and applied social statistician based at the Centre for Big Data Research in Health, UNSW Sydney. His research focuses on the analysis of large, linked administrative datasets to answer research questions related to the health and social welbeing of populations. Topics of interest include early childhood health and development, health service utilisation, Indigenous health and outcomes for vulnerable populations. As an applied social statistician, he is interested in statistical methods for answering causal questions using observational data; summarising and modelling complex longitudinal data; and innovative approaches for visualising data and communicating research. Mark convenes and teaches the course HDAT9700 Statistical Modelling II as part of the MSc in Health Data Science.
Mark joined the Centre for Big Data Research in Health from the University of Bristol, where he completed his PhD in Advanced Quantitative Methods for the Health and Social Sciences. His doctoral research focused on novel approaches to correct for nonresponse bias in large household surveys. He also holds an MSc in Applied Social Research from Trinity College Dublin and a BSc (Hons) in Mathematics and Statistics from the National University of Ireland, Maynooth.