Nikolas Popper

Nikolas Popper is a Senior Scientist in the Research Area of Computational Statistics at TU Wien. His work focuses on agent-based modeling, epidemiological simulations, and computational methods for decision support systems. He has contributed to pandemic response strategies through predictive modeling and multi-model frameworks. Popper has co-supervised numerous theses on topics including agent-based influenza models, maintenance analysis in aviation networks, and obesity prevalence modeling in Austria.

His research integrates diverse methodologies like Bayesian networks, Monte Carlo simulations, and co-simulation techniques to address complex systems challenges. Notable contributions include a multi-model warning system for public health policies and vaccination strategy optimization frameworks. Popper's work emphasizes interdisciplinary approaches to healthcare, transportation systems, and environmental impact analysis.

• Key Projects: Multi-criteria decision support for pandemic management, train delay analysis using Bayesian networks
• Grants and Funding: Not explicitly listed in provided texts

Labs/Teams: Part of the Network Lab and collaborative initiatives involving computational statistics and epidemiology.