Laura’s expertise is quantitative analysis, applied to a range of government datasets to understand how people interact with services in the health, education and social sectors. Her work supports government in making sustainable decisions that benefit community. She says:
“Data analysis provides policymakers a solid evidence base to improve programs, encourage broader adoption of successful approaches and ensure spending is effective. When people receive the care they need, the advantages are felt beyond the frontline – across government, populations and society as a whole.”
Laura’s experience includes:
- Using large-scale linked datasets and investment approach modelling that highlights people’s service pathways, which assists in tailoring initiatives and understanding outcomes. For example, comparing potential early intervention points in Pathways to Homelessness.
- Complementing the service-use picture from administrative data with linked survey data on self-reported wellbeing and lifestyle factors. For example, using predictive modelling to understand how risk factors for cancer diagnoses compound.
- Evaluating outcomes across all wellbeing domains, providing a wider picture of program impacts and potential benefits. For example, assessing the cross-sectoral impact of housing initiatives and how economic inequality pervades other areas of wellbeing.
- Fellow of the Institute of Actuaries of Australia
- Bachelor of Science Honours (Physics and Maths), Victoria University of Wellington, New Zealand
- PhD in Physics, Victoria University of Wellington, New Zealand