
I'm a Senior Research Fellow in the Centre for Epidemiology and Biostatistics at the Melbourne School of Population and Global Health, University of Melbourne.
I'm also a member of Australia's National Respiratory Infections Surveillance Committee.
Research
My research focuses on predicting and mitigating the burden of infectious disease epidemics, through the use of mathematical/computational modelling and Bayesian inference. My primary focus is on seasonal and pandemic influenza, other respiratory pathogens such as RSV and COVID-19, and malaria. This includes:
- Using scenario modelling to inform recommendations for effective health interventions; and
- Synthesising models and surveillance data to generate near-real-time epidemic forecasts.
I am a proponent of Reproducible Research, Open Access, and Free and Open Source Software, and produce open source software packages through my research activities. See my Software page for details.
A model that cannot be explained should not inform decisions that require justification.
Training
I am a lead developer of Git is my lab book, a collection of materials to support early- and mid-career researchers who want to advance their computing skills and make effective use of available tools and computing infrastructure.




