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
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
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