Ingo Roeder

Professor Ingo Roeder is a Professor for Medical Statistics and Biometry and Head of the Institute for Medical Informatics and Biometry (IMB) at the Medical Faculty Carl Gustav Carus, Technical University of Dresden since 2010. His research group focuses on systems biology with applications in medicine, stem cell and developmental biology, developing mathematical models to understand biological systems across multiple scales.

Professor Roeder's educational background includes:

• Diploma in Mathematics from TU Dresden (1994)
• PhD in Theoretical Biology from University Leipzig (2003)
• Habilitation in 'Medical Bioinformatics, Statistics and Epidemiology' (2009)

Professor Roeder's research interests center around mathematical modeling of biological systems at multiple scales. His group develops and applies mathematical models and simulation strategies of regulatory processes on the molecular, cellular, and tissue levels. Major research foci include theoretical stem cell biology, investigation of stem cell-niche interactions, analysis of clonal competition processes, modeling of aging-related phenomena in the hematopoietic system, and understanding gene regulatory principles. In bioimage informatics, the group specializes in developing automatic single cell tracking algorithms and model-based segmentation methods for analyzing cellular genealogies, cell migration, and cell-cell contacts.

Professor Roeder's publication record demonstrates consistent contributions to systems biology, stem cell research, and computational medicine. His work shows progression from fundamental mathematical modeling of stem cell organization to increasingly complex applications in cancer treatment and advanced imaging technologies. The research spans multiple disciplines including mathematics, computer science, biology, and medicine, reflecting the interdisciplinary nature of modern systems biology.

His notable scientific contributions include:

• Mathematical modeling approaches for characterizing clonal heterogeneity among hematopoietic stem cells
• Dynamic modeling of imatinib-treated chronic myeloid leukemia with clinical implications
• Development of automated single-cell tracking methods for studying hematopoietic stem cell behavior
• Mathematical analysis of Nanog variability in pluripotency regulation of embryonic stem cells
• High-speed panoramic light-sheet microscopy techniques for studying endodermal cell dynamics

As Head of the Institute for Medical Informatics and Biometry, Professor Roeder oversees research activities that bridge mathematics, computer science, and medical applications. His group maintains active collaborations across disciplines, working with experimental biologists to validate mathematical models and with clinicians to translate research findings into potential medical applications. The group participates in interdisciplinary graduate programs such as the Dresden International Graduate School for Interdisciplinary Life Sciences.

The research group operates at the intersection of mathematical modeling and experimental biology, with particular focus on developing computational methods to address complex biological questions. Their work on single cell tracking and modeling represents a significant technical contribution to the field of bioimage informatics, enabling detailed analysis of cellular behavior that would be impossible through manual methods alone.