Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. It is currently no longer possible to analyze and interpret this data without the use of automatic or semi-automatic analysis tools.

We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.