معرفی
Simon Cauchemez is the Head of the Mathematical Modelling of Infectious Diseases Unit at the Institut Pasteur in Paris, France, a position he has held since 2013. His research is centered on developing advanced statistical and mathematical models to understand infectious disease transmission, assess public health interventions, and support policy-making during outbreaks. He works closely with national and international public health agencies, particularly in the context of emerging diseases such as COVID-19, dengue, and zoonotic threats.
His research interests span epidemiology, mathematical modeling, Bayesian statistics, data integration, and public health. He employs multidisciplinary approaches that incorporate epidemiological, demographic, climatic, genomic, and social data to model disease dynamics across multiple scales—from intra-host to global levels. His work has been pivotal in shaping responses to the COVID-19 pandemic, with dedicated modeling efforts documented on the Institut Pasteur’s COVID-19 modeling platform.
The 15 most recent publications highlight a strong focus on epidemic forecasting, vaccine effectiveness, household transmission dynamics, and the integration of genomic and serological data. Key themes include dengue forecasting using climate data, evaluation of RSV and measles vaccines, SARS-CoV-2 variant transmission, and the development of statistical methods for handling incomplete epidemiological data. His modeling frameworks are applied to a wide range of pathogens, including SARS-CoV-2, dengue, pertussis, and zoonotic viruses like Nipah and MERS-CoV.
- Principal Investigator, SocialCov Project (SARS-CoV-2 contact survey)
- Lead, Assessing Threats from Zoonotic Viruses (MERS-CoV, Nipah, Plague)
- Co-PI, Understanding Whooping Cough Resurgence in Europe (genomic-epidemiological-sociological integration)
- Member, INCEPTION – Institut Convergence for the study of Emergence of Pathology Through Individuals and Populations
- Steering Committee Member, LabEx IBEID (Integrative Biology of Emerging Infectious Diseases)
He has advised numerous PhD students and postdoctoral researchers in the fields of epidemiology and modeling. His unit regularly contributes to public health decision-making, particularly during epidemics, and he leads a one-week Pasteur Course on Modeling of Infectious Diseases for students and professionals.
His laboratory, part of the broader research ecosystem at the Institut Pasteur, collaborates extensively with units in microbiology, virology, and public health. The team is embedded within transversal initiatives such as the LabEx IBEID and the INCEPTION convergence institute, which promote interdisciplinary research in emerging diseases.
