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Alina Muellenmeister

Mathematical Modeller

Working groups

alina.muellenmeister@burnet.edu.au
Alina Muellenmeister

Background

Alina completed a Bachelor of Science in Mathematics with a Major in Medicine in 2020 and a Master of Science in Mathematics with a Major in Medicine, specialising in biostatistics, in 2021, both at RWTH Aachen University, Germany. Her master’s research was centred on the impact of allocation bias in group sequential clinical trial designs. 

After her Masters, Alina went on to work at JASCO Applied Sciences as a Project Scientist, where she modelled acoustic exposures to marine mammals using agent-based models. 

Currently, Alina is a Modeller in the Modelling and Biostatistics team working on the “COVASIM: Modelling COVID-19” project as well as other infectious diseases modelling in various countries. 

Qualifications

  • 2021: Master of Science (Mathematics with a major in medicine), RWTH Aachen University, Germany

  • 2020: Bachelor of Science (Mathematics with a major in medicine), RWTH Aachen University, Germany

Positions

  • 2021-2022: Project Scientist, JASCO Applied Sciences

  • 2019-2021: Science Assistant, Institute of Medical Statistics, RWTH Aachen University 

Burnet publications

View 1 more
06 Feb 2025

Estimating the impact of decreasing vaccination response times for outbreaks in low- and middle-income countries

medRxiv (Cold Spring Harbor Laboratory)

Alina M. Muellenmeister, Dominic Delport, Jane Greig, Romesh Abeysuriya, Nick Scott, Dominic Delport, Alina M. Muellenmeister, Jane Greig, Romesh Abeysuriya, Nick Scott

Open access
06 Feb 2025

Estimating the impact of decreasing vaccination response times for outbreaks in low- and middle-income countries

medRxiv (Cold Spring Harbor Laboratory)

Alina M. Muellenmeister, Dominic Delport, Jane Greig, Romesh Abeysuriya, Nick Scott, Dominic Delport, Alina M. Muellenmeister, Jane Greig, Romesh Abeysuriya, Nick Scott

Open access
03 Jun 2024

Estimating the historical impact of outbreak response immunization programs across 210 outbreaks in LMICs

medRxiv (Cold Spring Harbor Laboratory)

Gabrielle P. D. MacKechnie, Dominic Delport, Alina M. Muellenmeister, Stefanie Vaccher, Romesh Abeysuriya, Nick Scott, Dominic Delport, Alina M. Muellenmeister, Gabrielle P. D. MacKechnie, Stefanie Vaccher

Open access

Current projects

Using mathematical models to generate evidence to support Australia’s COVID-19 responses and prepare for future pandemics

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.

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