Philip is a Biostatistician, with a Masters in Biostatistics from the University of Sydney. He currently works as a Biostatistician, consulting on a variety of projects for the centre. He also conducts methodological research, with a particular focus on causal inference using observational data, and the use of machine learning in causal inference.
Philip recently submitted his PhD in biostatistics, with a focus on the use of targeted maximum likelihood estimation to estimate causal effects, under the supervision of Assoc. Prof. Timothy Dobbins, Prof. Richard Mattick and Assoc. Prof. Raimondo Bruno.
PhD in Biostatistics (submitted), 2019
Master of Biostatistics, 2014
University of Sydney