Dr James Walker
PhD Student
The University of Melbourne
James Walker is a Research Fellow in the School of Mathematics and Statistics at the University of Melbourne. In 2020, they completed a PhD at the University of Adelaide which developed Bayesian inference and model selection methods for emerging infectious diseases. Subsequently, they joined the Australian COVID-19 modelling efforts where their research informed the Commonwealth Government’s early public health response. Their work utilises stochastic modelling and computational Bayesian methods to characterise infectious diseases. James is currently researching inference methods for agent-based models of malaria and optimisation of intervention strategies.
Research Interests:
Bayesian computational methods
epidemiology
Qualifications:
Bachelor of Mathematical Sciences
MPhil
PhD
Publications
Journal Articles
Walker, J. N., Black A. J., & Ross J. V.
(2019). Bayesian model discrimination for partially-observed epidemic models.
Mathematical Biosciences. 317, 108266. doi: 10.1016/j.mbs.2019.108266
Walker, J. N., Ross J.V., & Black A. J.
(2017). Inference of epidemiological parameters from household stratified data.
PLOS ONE. 12(10), e0185910. doi: 10.1371/journal.pone.0185910