My goal is to help prevent and alleviate suffering for the sickest, poorest, and most vulnerable people through research and discovery. I try to focus on mental health research for the socially disadvantaged.
I have 9 years of experience applying machine learning and biostatistics to clinical/public health research (27 articles on PubMed +700 citations) and 4 years of experience in clinical psychiatry, where I treated patients. I have general medical registration with AHPRA.
My research includes 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.
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