معرفی
Jonas Juul is an Assistant Professor in Data Science Networks, Data, and Society at the IT University of Copenhagen. His research employs statistical methods, mathematical modeling, and computer simulations to study social networks, spreading processes, and human behavior, with particular focus on content diffusion online and disease spread mitigation in human populations.
His research interests span multiple domains:
- Epidemiological modeling and forecasting
- Social network analysis and information diffusion
- Contagion dynamics in biological and social contexts
- Mathematical modeling of complex systems
- Public health intervention strategies
Dr. Juul's publication record shows consistent output since 2018, with a strong focus on contagion processes across different contexts. His work bridges theoretical physics approaches with practical data science applications, particularly in epidemiology and social dynamics. Recent publications demonstrate expansion into genomic epidemiology and cultural evolution while maintaining his core focus on network-based spreading processes.
Key scientific recognitions:
- Data Science Emerging Investigator 2024 grant from the Novo Nordisk Foundation
- Carlsberg Foundation Fellowship
Dr. Juul currently leads the InForM project (Inference, Forecasts and Mitigation of future epidemics), a major research initiative funded by the Novo Nordisk Foundation running from 2025-2030 with significant policy impact (referenced in policy sources) and media attention (picked up by 11 news outlets). He has also contributed to Denmark's COVID-19 response as part of Statens Serum Institut's expert group during the 2020 reopening phase.
He maintains external research positions as a Member (Representing ITU) at Det Koordinerende Organ for Registerforskning and as a Guest researcher at Danmarks Statistik, demonstrating his expertise in data governance and statistical analysis beyond his primary appointment.
