Dr Su Yun Kang is currently a Postdoctoral Computational Scientist in disease modelling in the Big Data Intitute at the University of Oxford as part of the Malaria Atlas Project. Her current role is to undertake research at the interface of malaria epidemiology, malaria spatial dynamics and control, statistical analysis, algorithm development, and policy.
Su obtained her PhD in Statistics from Queensland University of Technology (QUT), which focused on the investigation of the suitable spatial and spatio-temporal scales for modelling of cancer incidence in Queensland, Australia using sophisticated Bayesian hierarchical models. Prior to joining SEEG, Su was a Research Associate at QUT working on the Great Barrier Reef monitoring program. Here adaptive monitoring methods for spatio-temporal data were developed to improve the long-term health of the Great Barrier Reef at minimum cost with maximum efficiency.
Her current research interests include spatial and spatio-temporal disease modelling, infectious disease epidemiology, Bayesian methodologies, and stochastic processes.