Thomas Neyens

Thomas Neyens is an Associate Professor at the Department of Public Health and Primary Care, KU Leuven, affiliated with the Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat). His work focuses on spatial statistics, hierarchical modelling, ecology, and public health, with notable contributions to epidemiological and ecological data analysis during the COVID-19 pandemic.

He holds roles as promotor/co-promotor in interdisciplinary projects such as 'Trajectories of newly emerging evolving metacommunities' and 'A geostatistical framework to forecast malaria incidence'. His research integrates statistical methodologies with real-world applications in environmental health, disease mapping, and clinical data analysis.

Recent publications highlight advancements in joint modelling approaches, analysis of opportunistic ecological datasets, and spatio-temporal epidemiology of respiratory pathologies. He teaches courses like Linear Models and Scientific Methodology at KU Leuven.

Neyens collaborates with institutions like the One Health Institute and has contributed to projects evaluating vaccination effects, pandemic interventions, and environmental health impacts. His work emphasizes methodological developments for complex healthcare and ecological data.