Mira Baude

Mira Baude serves as a Scientific Associate at the University of Duisburg-Essen within Prof. Kimms' research group, focusing on quantitative analysis and operations research applications. Her work bridges theoretical modeling with real-world public health challenges through mathematical approaches.

She holds an M.Sc. degree and specializes in Operations Research with concentrated expertise in epidemiological modeling. Her research employs network-based methodologies to analyze pandemic behavior, utilizing SIRD (Susceptible-Infected-Recovered-Deceased) frameworks to capture transmission heterogeneity and forecast disease dynamics. This work directly informs public health policy through computational simulations of infectious disease spread.

Her 2024 publication in the Central European Journal of Operations Research demonstrates her signature approach of integrating network theory with compartmental modeling. The research establishes novel connections between operations research techniques and epidemiological forecasting, particularly in modeling spatial transmission patterns during pandemics through graph-based structures.

No scientific awards were documented in available sources.

Mira Baude operates within Prof. Kimms' research ecosystem focused on quantitative business analysis (QBWL) and operations research. Her current work emphasizes pandemic modeling applications, with potential extensions into supply chain resilience during health crises as indicated by the institutional context of SCM and Logistics programs.