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Headshot of Associate Professor Nic Geard

A/Prof. Nic Geard

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Senior Lecturer

University of Melbourne

Nic Geard uses computational models to investigate the transmission and control of infectious diseases such as influenza, group A Streptococcus, and COVID-19. He is particularly interested in how rich computational models can capture the influence of demographic, behavioural and pathogen heterogeneity on the spread of diseases, and the implications this heterogeneity has for effective control strategies.

Nic is a CI on SPECTRUM. He is Director of the Melbourne Data Analytics Platform [https://mdap.unimelb.edu.au/], a team of research data specialists enabling data-intensive and collaborative research across The University of Melbourne. More broadly, he is interested in the application of computational simulation models to the study of complex biological, social and artificial systems. Past areas of research interest have included the structure and dynamics of gene regulatory networks, the interplay between developmental and evolutionary processes, and the co-evolution of state and topology in dynamic networks.

Related Projects

  • Modelling Report for National Cabinet

Related publications

  • Shearer, F.M., Walker, J., Tellioglu, N., McCaw, J.M., McVernon, J., Black, A. and Geard, N., 2022. Rapid assessment of the risk of SARS-CoV-2 importation: Case study and lessons learned. Epidemics, 38, p.100549.
  • Doherty Institute, 2021. Doherty Modelling – Final report to National Cabinet, 5 November. Available at https://www.doherty.edu.au/our-work/institute-themes/viral-infectious-diseases/covid-19/covid-19-modelling/modelling (Accessed 24 April 2023).
  • Doherty Institute, 2021. Doherty Modelling – Final report to National Cabinet, 5 November. Available at https://www.doherty.edu.au/our-work/institute-themes/viral-infectious-diseases/covid-19/covid-19-modelling/modelling (Accessed 24 April 2023).
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© May 2023 SPECTRUM
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Supporting Participatory Evidence generation to Control Transmissible diseases in our Region Using Modelling (SPECTRUM)
A Centre of Research Excellence (CRE) funded by the National Health and Medical Research Council (NHMRC).