Visual Computing Group

Led by Timo Ropinski, the Visual Computing Group specializes in transforming big and complex data into comprehensible information, by researching innovative data analysis methods. Research outcomes are cutting-edge algorithms, state-of-the-art deep learning models, and interactive software.

Our primary application areas are biomedicine and the natural sciences, where we contribute to advance scientific understanding and innovation. We collaborate with research institutions, healthcare providers and industry leaders.