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Su Kang

Dr. Su Yun Kang, PhD, is a dedicated statistician specializing in spatial and temporal modelling, epidemiology, and Bayesian methodologies

Su Kang

Senior Research Officer

PhD

Dr. Su Yun Kang, PhD, is a dedicated statistician specializing in spatial and temporal modelling, epidemiology, and Bayesian methodologies. She earned her PhD in Statistics from Queensland University of Technology (QUT), where her research focused on advancing Bayesian spatio-temporal modelling techniques to understand cancer incidence patterns in Queensland.

Following her doctoral studies, Dr. Kang worked as a research associate at QUT, where she contributed to developing innovative model-based adaptive monitoring strategies for spatio-temporal data within the Great Barrier Reef monitoring program.

In 2015, Dr. Kang joined the Malaria Atlas Project at the University of Oxford as a postdoctoral researcher, focusing on disease modelling, malaria epidemiology, and control strategies. Today, as a Senior Research Officer at the Kids Research Institute Dr. Kang continues to contribute to geospatial modelling methodologies, providing actionable insights into disease dynamics and informing interventions. Her research interests include spatial and spatio-temporal disease modelling, infectious disease epidemiology, Bayesian methodologies, and stochastic processes.

Published research

High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis

Namibia, a low malaria transmission country targeting elimination, has made substantial progress in reducing malaria burden through improved case management, widespread indoor residual spraying and distribution of insecticidal nets. The country's diverse landscape includes regions with varying population densities and geographical niches, with the north of the country prone to periodic outbreaks.