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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

Lutz Brusch

TUD ZIH Spatio-temporal pattern formation in cells and tissues

Raimund Dachselt

TUD Computer Science, TUD PoL Immersive Exploration of Multiscale Biological Data

© cfaed, Katharina Knaut

Benjamin Friedrich

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

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

© BIOTEC

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