Dominik Brunmeir

Dominik Brunmeir is a Researcher in the Data Science department at TU Wien's Faculty of Informatics. His work focuses on agent-based modeling, machine learning applications, and epidemiological simulation for public health policy analysis. He is involved in projects such as DynOptTestControl (2022–2026) and KLIPHA-COVID19 (2020–2021), contributing to pandemic response strategies and vaccination optimization algorithms.

His research integrates computational methods with real-world challenges, including estimating herd immunity thresholds, evaluating contact-tracing policies, and modeling undetected infections during the SARS-CoV-2 outbreak. He has published extensively in journals like Scientific Reports, Medical Decision Making, and PLoS Computational Biology, emphasizing interdisciplinary approaches to public health and decision support systems.

Key technical contributions include the development of agent-based templates for simulation efficiency, GANs for agent decision modeling, and transformer tools for medical decision-support knowledge systems. His work bridges theoretical modeling with practical applications in healthcare logistics and pandemic management.