Shovanur Haque

Dr. Shovanur Haque is an Associate Lecturer in the School of Mathematical Sciences and a Postdoctoral Research Fellow in the School of Public Health & Social Work at Queensland University of Technology (QUT). She holds a PhD in Statistics (2018) from QUT, focusing on developing the MaCSim method for evaluating record linkage accuracy. Her work spans academia and government, including roles at the Australian Bureau of Statistics and Queensland Department of Environment and Science. Currently, she leads a Centre for Data Science (CDS) project investigating spatial data aggregation effects on medical decision-making. Her research interests include Bayesian modeling, spatial data analysis, machine learning, and record linkage.

Key research projects involve assessing Modifiable Areal Unit Problem (MAUP) impacts on epidemiological inference, modeling infectious disease transmission dynamics, and developing climate-driven early warning systems for public health. She contributes to interdisciplinary collaborations, combining statistical methods with health, environmental, and social sciences.

• Education: PhD in Statistics (QUT, 2018)
• Research Focus: Spatial epidemiology, Bayesian methods, record linkage, and MAUP analysis
• Affiliations: Centre for Data Science, Centre for Immunology and Infection Control

Her recent publications (2021–2025) emphasize Bayesian structural time series modeling, spatial aggregation effects in health data, and cross-border disease surveillance networks. She actively engages in methodological advancements for public health analytics and data-driven policy decisions.