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.
The Albion Centre - (WHO Collaborating Research Centre)
February 2016
to July 2016
Sydney
HIV research and gaining exposure to HIV medicine as well as training and enabling staff in research methods.
HIV Complexity - Described the increasing burden of comorbidities in patients with HIV, where care needs a multi-disciplinary team approach. Used directed acyclic graphs.
HIV Smoking Audit - Predicting which patients will benefit most from a smoking cessation intervention