Dr Romesh Abeysuriya
Senior Research Officer

Background
Romesh joined Burnet at the start of 2018 to work on Optima TB and HCV modelling. He completed his undergraduate studies and PhD in Physics at the University of Sydney.
After working on software development for the Optima HIV project in 2015, he took up a postdoctoral research position at the Oxford Centre for Human Brain Activity where he worked on biophysical modelling of neural activity. Now back in Australia, Romesh is based in Sydney. His research interests include quantitative predictive modelling and optimization, with a particular focus on data-driven model validation. He is currently also working on COVASIM: Modelling COVID-19 - an individual-based model assessing the impact of COVID-19 interventions that has informed the Victorian Government's Roadmap through the COVID-19 pandemic.
Qualifications
- 2011-2014: PhD (Physics) The University of Sydney
- 2007-2010: BSc (Advanced) (Honours 1) Physics
Appointments
- Adjunct Research Fellow, Biostatistics, Data Analytics/Modelling and Health Economics, Monash University
Positions
- 2018: Senior Research Officer, Burnet Institute
- 2016-2017: Postdoctoral Scientist, Oxford Centre for Human Brain Activity
- 2014-2015: Postdoctoral Research Associate, Brain Dynamics Group, School of Physics, University of Sydney
- 2015-2016: Consultant Developer (Optima HIV), Kirby Institute, University of New South Wales
- 2014-2015: Analyst, Cingulate Consulting
Reports + Policy Briefs
2021 (1)
- Modelling the Victorian roadmap (PUBLIC HEALTH REPORT) Abeysuriya R, Delport D, Sacks-Davis R, Hellard M, Scott N. Know C-19 Burnet Institute. September, 2021.
- COVASIM modelling: Impact of vaccines on epidemic outcomes. (PUBLIC HEALTH REPORT) Abeysuriya R, Hellard M, Scott N. Know-C19 Burnet Institute. June, 2021.
2020 (1)
- Estimating risks associated with early reopening in Victoria. (Policy Brief prepared for the Victorian Department of Health and Human Services) Abeysuriya R, Delport D, Hellard M, Scott N. Know-C19 Hub. September, 2020.
Reports and other work
-
Know COVID-19: Estimating risks associated with early reopening in Victoria
In this study, we use Covasim to estimate the risk of Victoria experiencing a third COVID-19 epidemic wave if Stage 4 restrictions were eased on the 14th September 2020 or two weeks later on the 28th September.
Know COVID-19: Estimating risks associated with early reopening in Victoria
Burnet publications
View 49 moreEstimating the historical impact of outbreak response immunisation programmes across 210 outbreaks in low and middle-income countries
BMJ Global Health
Dominic Delport et al
Evaluating the impact of COVID ‐19 vaccination strategies on infections and hospitalisations in Victoria with non‐seasonal epidemic wave patterns: a modelling study
The Medical Journal of Australia
Fenella McAndrew, Romesh Abeysuriya, Nick Scott
Estimating the impact of decreasing vaccination response times for outbreaks in low- and middle-income countries
medRxiv (Cold Spring Harbor Laboratory)
Dominic Delport et al
Current projects
Using mathematical models to generate evidence to support Australia’s COVID-19 responses and prepare for future pandemics
The COVID-19 pandemic has shown that effective public health responses save lives and reduce socio-economic damage. Modelling has played a critical role in public health decision-making by quantifying the risks and benefits of different policy responses. Burnet Health Modeller Dominic Delport's PhD will utilise mathematical modelling to generate evidence to support public health decision-making during outbreaks and prepare for future pandemics.

Hepatitis B modelling
We use mathematical and economic models to inform global efforts to achieving the elimination of hepatitis B as a public health threat.
Optima Nutrition modelling
Optima Nutrition is an open source mathematical modelling tool to help countries respond effectively to nutrition.