Philip is a Biostatistician, with a PhD in Biostatistics from UNSW Sydney and 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 completed his PhD in 2020, 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, 2020
Master of Biostatistics, 2014
University of Sydney