An Accredited Statistician (AStat) and Data Scientist with nine years of experience in applying advanced statistical modelling, machine learning, and biostatistics to clinical and public health research. Expertise in managing and analysing large-scale population datasets (1.8 million+ records) using R and Stata.
Proven track record of leading research projects from conception to publication, with 27 articles in peer-reviewed journals and over 700 citations. Seeking to leverage skills in data science to drive discovery and improve outcomes.
Evaluating Mental Health Services for the Socially Disadvantaged including constructing Simulation Models in AnyLogic Evaluating the effectiveness of GP care plans in reducing metabolic risk for patients with serious mental illness. Predictors and outcomes of change in socio-economic position over time and ensuing patterns of illness and receiving treatment.
Rotations: Rural and Indigenous Health, HIV, Public Health Unit (Communicable Disease and Environmental Health), Childhood Disability, Addiction and Pharmacoepi (TGA)
Coursework: Environmental Health Risk Assessments | Framing Indigenous Health| Health Promotion| Health Policy| Epidemiology and Control of Communicable Disease| Qualitative Research Methods| Environmental Health Risk Assessments | Introduction to teaching and supervision | Grant Writing | PRINCE 2 : Foundations and Practitioners | Good Clinical Practice (GCP) Certified as of 2022 Oct
Honours Thesis: A Pharmacological mechanism for the Clinical Benefits of Angiotensin Converting Enzyme Inhibitors: Analyses of randomised controlled trials