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Computational Biology

Computational Biology addresses problems in biology, biomedicine and ecology through image analysis, theory, computer simulations and data visualization. In Dresden we focus on dynamic processes in cells and embryos but also on biomedical questions like tissue regeneration. An overarching question is how complex system behavior at a large scale can emerge from simpler physical and chemical interactions at smaller scales. In close collaboration with experimentalists, our research groups develop and apply computational tools including image analysis and image quantification algorithms, model-based image segmentation and cell tracking algorithms, adaptive particle methods for spatio-temporal simulations, parallel high-performance computing, multi-scale mechanistic model simulations and deep learning. We are strong advocates of open source culture and community integration.

© Pisabarro Group

Research Groups

© HTW, Peter Sebb

Sebastian Aland

HTW Dresden Modeling and Simulation of Dynamic Biological Interfaces

Lutz Brusch

TUD ZIH Spatio-temporal pattern formation in cells and tissues

© cfaed, Katharina Knaut

Benjamin Friedrich

TUD PoL, TUD cfaed Biological Algorithms: Spatio-temporal dynamics of cells and tissues

Jakob Nikolas Kather

TUD Medical Campus, TUD Computer Science Clinical Artificial Intelligence

M. Teresa Pisabarro

TUD BIOTEC Computational approaches to functional genomics and rational engineering for target/drug discovery and biotechnology innovation

Anna Poetsch

TUD BIOTEC Biomedical Genomics

Ingo Roeder

TUD Medical Campus Systems biology with applications in medicine, (stem) cell and developmental biology

Shervin Safavi

TUD Medical Campus Computational Machinery of Cognition


Michael Schroeder

TUD BIOTEC Computational Drug Repositioning with Networks, Structures, Text & Ontologies

© Katrin Boes

Axel Voigt

TUD Mathematics Mathematical Modeling and Numerical Simulation of Cells and Systems