About
Julien Riou is a Postdoctoral Research Fellow at the Institute of Social and Preventive Medicine (ISPM) within the University of Bern, Switzerland. Holding dual doctorates (Dr. med. and Dr. phil.), he is affiliated with the Multidisciplinary Center for Infectious Diseases (MCID) and focuses on infectious disease epidemiology with emphasis on methodological innovation and health equity.
Riou's research spans infectious disease modeling, biostatistics, and public health, specializing in Bayesian statistical methods for transmission dynamics of SARS-CoV-2, HIV, and tuberculosis. His work critically examines gender/sex disparities, socioeconomic determinants, and geographical variations in disease outcomes. Key contributions include conceptual frameworks for sex-integrated modeling, overdispersion analysis in transmission clusters, and excess mortality studies during pandemics.
His 15 most recent publications (2022-2025) reveal intense focus on COVID-19 dynamics—covering vaccine effectiveness, seroprevalence monitoring, and cross-border transmission—alongside antimicrobial resistance projections and neonatal health studies. Methodologically, he advances Bayesian workflows for time-varying transmission models and develops novel approaches for pooled testing data analysis.
Riou actively collaborates within the Multidisciplinary Center for Infectious Diseases (MCID), leveraging Swiss and South African surveillance datasets to address real-world public health challenges through rigorous quantitative analysis.
