Mason Mi Zhou

Mason Mi Zhou is a final-year PhD candidate in Public Health at the Adelaide University. He is a quantitative public health researcher and statistician specialising in the analysis of large-scale population-based datasets. His research applies advanced modelling techniques (e.g., longitudinal modelling, compositional data analysis, causal inference, machine learning, etc.) to examine developmental changes in wellbeing and movement behaviours across childhood and adolescence.
Mason Mi Zhou is a final-year PhD candidate in Public Health at the Adelaide University. He is a quantitative public health researcher and statistician specialising in the analysis of large-scale population-based datasets. His research applies advanced modelling techniques (e.g., longitudinal modelling, compositional data analysis, causal inference, machine learning, etc.) to examine developmental changes in wellbeing and movement behaviours across childhood and adolescence.