Dr Camelia Walker
The University of Melbourne
Dr Camelia 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 continues to inform the Commonwealth Government’s public health response. Their work utilises stochastic modelling and computational Bayesian methods to characterise infectious diseases. Camelia is interested in malaria infection dynamics, pandemic preparedness and policy-relevant infectious disease modelling.
Bayesian computational methods
Bachelor of Mathematical Sciences
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