معرفی
Peter Klimek is a faculty member at the Complexity Science Hub and holds an associate professorship at the Medical University of Vienna. His interdisciplinary research integrates complexity science, data science, statistics, and physics to model and predict behaviors in socio-economic and healthcare systems. He is also the director of the Supply Chain Intelligence Institute Austria (ASCII), where he leads research on supply chain resilience and economic networks.
- PhD in Physics (2010)
- Venia Docendi (Habilitation) in Computational Science (2018)
- Director, Supply Chain Intelligence Institute Austria (ASCII)
His research interests center on complex systems, with applications in healthcare modeling (e.g., comorbidity networks, disease progression, pandemic forecasting), economic and financial systems (e.g., shock propagation, trade disruptions), and election forensics. He has developed novel statistical methods to detect electoral fraud and stress-test models for healthcare workforce resilience and financial market stability.
The most recent publications reflect a strong trend in data-driven policy modeling, combining population-scale health data, economic input-output models, and network science. Key themes include the long-term health effects of famine, antibiotic and food supply chain vulnerabilities, and gender disparities in chronic disease outcomes. His work leverages machine learning, agent-based simulations, and forensic data analysis to inform public policy.
- Paul Watzlawick Ring of Honor (2021)
- Austrian Scientist of the Year 2021
Klimek has advised on major public health initiatives, including the Austrian government’s COVID-19 forecasting model. He has no listed students in the provided text but collaborates extensively within large research teams. He leads initiatives on national medical data infrastructure and digital transformation in agriculture (e.g., 'Internet of Cows'). His lab and team focus on building digital twins of complex systems, with applications in healthcare, supply chains, and socio-political systems.
