Dr. Andrew Woodward (BVSc, PhD, DACVCP) is an applied biostatistics researcher and conducts statistical consulting in Faculty of Health. Andrew trained in veterinary science (BVSc, BAnimSci; 2007-2012), pharmacometrics (PhD; 2013-2019) and veterinary clinical pharmacology (DACVCP; 2013-2018), all at University of Melbourne. He conducted postdoctoral research and teaching in biostatistics also at University of Melbourne from 2018-2020, and sessional teaching in pharmacology at University of Saskatchewan in 2016. Andrew's research work has primarily emphasized scientific computing and data modelling since 2013.

Andrew's statistical work has included collaborative projects in numerous disciplines, particularly focussed in animal health. Applications have been diverse and included infectious diseases in companion animals, production animals and wildlife, clinical epidemiology, animal welfare and behaviour, and microbiology, vaccine, and biomarker studies. A particular area of expertise is design and analysis in quantitative pharmacology, with hands-on experience including population pharmacokinetics, physiologically-based models, and multiple software platforms.

Areas of research interest are diverse, and broadly include any interesting application of statistical modelling to research questions in health and biology.

Currently Andrew is particularly focussed on multilevel modelling, especially Bayesian hierarchical models, as applied to epidemiology and laboratory data. His current work includes projects utilizing semi-parametric methods (models only partially specified in advance), distributional modelling (models for quantities other than the mean), and quantile models (regression modelling without distribution assumptions). Applications include microbiology and antimicrobial resistance data, statistical analysis of analytical assays, and unusual pharmacokinetic systems.