معرفی
Jonas L. Juul is an Assistant Professor in the Computer Science Department at the IT University of Copenhagen. With a background in network science and complex systems, he employs statistical methods, mathematical modeling, and computer simulations to study social networks, spreading processes, and human behavior.
- Focus areas include: information diffusion in social networks
- Disease spread mitigation in human populations
- Interdisciplinary collaboration with medical doctors, economists, and computer scientists
Recent research highlights include improving statistical models for pandemic forecasting through the InForM project funded by the Novo Nordisk Foundation, and groundbreaking work on contact tracing optimization and information cascade dynamics.
Notable recognitions:
- 2025 H.C. Ørsted Research Talent Prize
- 2024 Novo Nordisk Foundation Data Science Emerging Investigator Grant
- 2025 Young Academy membership
He has contributed to mathematical modeling efforts during Denmark's COVID-19 reopening in 2020 and maintains active collaborations with institutions including Cornell University, Technical University of Denmark, and Niels Bohr Institute.
