I am a research associate at the MRC Centre for Outbreak Analysis and Modelling, in the Department of Infectious Disease Epidemiology. My interests lie in developing mathematical models to understand the impact of biological mechanisms driving infection and clearance within the host. As part of the Wellcome Trust Collaborator Award project "The evolution of influenza virus: studies of within host and between host evolution to improve pandemic risk assessment and vaccine updates", we are developing a framework integrating replicative and transmission fitness to predict the pandemic potential of an influenza strain. My role in this project involves determining the replicative fitness of influenza strains by fitting viral dynamics models to laboratory data.
I undertook my PhD studies at the School of Mathematics and Statistics at The University of Melbourne. My PhD analysed the effects of different components of the immune response on within-host influenza infection. I was awarded a Victoria Fellowship for 2015.
et al., 2019, Sequential infection experiments for quantifying innate and adaptive immunity during influenza infection, Plos Computational Biology, Vol:15, ISSN:1553-734X
et al., 2018, The distribution of the time taken for an epidemic to spread between two communities, Mathematical Biosciences, Vol:303, ISSN:0025-5564, Pages:139-147
et al., 2017, Modelling cross-reactivity and memory in the cellular adaptive immune response to influenza infection in the host (vol 413, pg 34, 2017), Journal of Theoretical Biology, Vol:419, ISSN:0022-5193, Pages:394-394
et al., 2017, Modelling cross-reactivity and memory in the cellular adaptive immune response to influenza infection in the host, Journal of Theoretical Biology, Vol:413, ISSN:0022-5193, Pages:34-49
et al., 2016, On the Role of CD8(+) T Cells in Determining Recovery Time from Influenza Virus Infection, Frontiers in Immunology, Vol:7, ISSN:1664-3224