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Mark Hanly is a Senior Lecturer at the Centre for Big Data Research in Health at the University of New South Wales (UNSW) Sydney. His research primarily focuses on the analysis of large, linked administrative datasets to address research questions related to health and social wellbeing in populations. His current research interests include early childhood health development, health service utilization, Indigenous health, and outcomes for vulnerable populations. Mark has considerable expertise in statistical methods for answering causal questions using observational data and in summarizing and modeling complex longitudinal data. He also explores innovative approaches to visualizing data and effectively communicating research findings. Mark teaches the course HDAT9700 Statistical Modelling II as part of the MSc Health Data Science program, and he holds a PhD in Advanced Quantitative Methods from the University of Bristol, where his doctoral work addressed nonresponse bias in large household surveys.
University of New South Wales • Sydney
Teaching and researching in the area of applied social statistics and health data science.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.