Irina Sidorenko

Dr. Irina Sidorenko is a Researcher in the Department of Mathematics at the Technical University of Munich, working within the School of Computation, Information and Technology. She is affiliated with the Chair of Analysis and Modelling under Prof. Zimmer and is an active member of the Analysis and Mathematical Biology research group. Her work bridges advanced mathematical techniques with critical biomedical applications, particularly in neonatal physiology.

Dr. Sidorenko's research focuses on mathematical modeling of physiological systems, with particular emphasis on cerebral blood flow and oxygen transport mechanisms in the developing brain. Her work combines differential equations, inverse problems, and numerical analysis to create sophisticated models that capture complex biological processes. She has made significant contributions to understanding hemodynamics in preterm infants, developing models that account for factors like hematocrit levels, blood gases, and capillary network structures. Her research has evolved from plasma physics in her early career to biomedical applications, demonstrating remarkable interdisciplinary versatility.

Analysis of her recent publications reveals a strong focus on neonatal cerebral physiology, with consistent output in high-impact journals spanning mathematics, engineering, and medical disciplines. Her work shows increasing sophistication in modeling approaches, moving from basic continuum models to more complex spatially-averaged network models that incorporate multiple physiological factors. The research demonstrates a clear translational trajectory, with mathematical insights increasingly directed toward solving specific clinical challenges in neonatal care.

Dr. Sidorenko maintains active collaborations with medical researchers, particularly in neonatology, creating a productive interdisciplinary research environment. Her work on cerebral blood flow modeling has direct clinical relevance, potentially informing diagnostic and therapeutic approaches for preterm infants at risk of intraventricular hemorrhage.

The Analysis and Mathematical Biology group provides a rich research environment where mathematical theory meets biomedical application. Dr. Sidorenko's work exemplifies how sophisticated mathematical modeling can address complex physiological questions, creating quantitative tools that have the potential to improve clinical outcomes for vulnerable patient populations.