Summary
Robert Dahnke is a research-focused software scientist with 13 years of experience building MRI preprocessing and 3D brain modeling pipelines, currently a postdoctoral researcher at Friedrich-Schiller-Universität Jena. He co-developed the widely used Computational Anatomy Toolbox (CAT), specializing in denoising, bias correction, segmentation, registration, surface reconstruction and topology correction for structural brain analysis. His recent DFG-funded work advances quantitative methods for gyrification, translating complex neuroanatomical theory into robust, generalizable MRI metrics and accessible toolbox implementations. Trained as a computer scientist with a magna cum laude PhD in Neuroscience, he bridges deep technical engineering with neuroimaging theory to enable reproducible, high-quality structural analyses. An understated strength is his long-term focus on end-to-end preprocessing quality assurance, ensuring derived metrics reflect true biology rather than pipeline artifacts.
13 years of coding experience
13 years of employment as a software developer
computer scientist, Medical Computer Science, 1.6 good, computer scientist, Medical Computer Science, 1.6 good at Friedrich-Schiller-Universität Jena
Ph.D. (Dr.-ing.), Neuroscience, magna cum laude, Ph.D. (Dr.-ing.), Neuroscience, magna cum laude at Technical University Ilmenau