An Accredited Statistician (AStat)/ Lead Data Scientist and medical doctor with nine years of experience in applying advanced statistical modelling and machine learning to clinical, public health and social research. Expertise in managing and analysing large-scale population datasets (1.8 million+ records) using R/R Shiny, Stata, PL/SQL, Python, SAS and Qilk.
Proven track record of leading research projects from conception to publication with a focus on statistics and data science. Statistical author on 28 articles in peer-reviewed journals with over 750 citations.
My research is in the areas of poverty, crime, social disadvantage, prenatal drug abuse, prematurity, children with disabilities, mental health, out of home care, addiction, Aboriginal Health, communicable diseases, cancer, heart disease, smoking cessation, breastfeeding, health and well-being, health education and aged care.
Prenatal Drug Exposure, prematurity and inhaled nitric oxide treatment, bronchopulmonary dysplasia, unsupervised clustering of neonatal ICU infants and short-term/long-term outcomes/cost to health services/education /, out-of-home care outcomes and service utilisation for babies and their mothers. Derived results for a population birth cohort 'Joining the Dots' of 1.8 million babies and their mothers in NSW between 2001 and 2020. Methods focused on causal mediation analysis.
Supervising Clinicians and Honours Research Students as a Medical Statistician and co-supervisor. Two of my honours students were Gold Medallists in their seminar series.