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 for the Prevention Research Collaboration at the University of Sydney, and is an Adjunct Lecturer with the National Drug and Alcohol Research 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.