I am an associate professor at the Department of Computer Science at Aarhus University in Denmark. I received my doctorate degree in 2010 from the University of Rostock, Germany and have since worked there in various capacities with a number of intermittent research stays at TU Graz, University of Calgary, and Fraunhofer IGD. In 2018, I moved to Aarhus where I work in the fields of Information Visualization and Visual Analytics.
My research focuses on novel methods for the visual analysis of structured data — in particular hierarchically and network-structured data, but also data that is organized by spatio-temporal relations or similarity. In collaboration with industrial and academic research partners, I currently apply my methods predominantly to data analysis challenges in the life sciences and geosciences.


News and Updates

August 2018
Journal article on Parallel Hierarchies accepted (→Publisher)

The Parallel Hierarchies visualization combines parallel sets with icicle plots to allow for cross-tabulating hierarchically structured categorical datasets. It has been developed together with SAP Research, the Chan Zuckerberg Biohub in San Francisco, and TU Dresden. Parallel Hierarchies are implemented in JavaScript/D3 and available as Open Source.

July 2018
Journal article on Progressive Visual Analytics accepted (→Publisher)

The article presents recent results from an ongoing research collaboration with University of Rostock and Sapienza University in Rome on Progressive Visual Analytics. This special form of data analysis shows partial results to the user for early and continuous interaction with the emerging end result even while it is still being computed. The article is available under Open Access.

June 2018
New PhD position on Map-like Visualization for Non-spatial Data announced (→Call)

A 3-year PhD position starting in November 2018 is available and we invite prospective candidates to apply until August 1st. This PhD project sets out to bring map-like space-filling visualizations to non-spatial data, such as biomedical data or financial data. Work on this topic will be conducted in collaboration with the DABAI project that provides the datasets and analysis scenarios for this research.

May 2018
Tutorial on Comparative Visualization at IEEE VIS 2018 accepted (→Announcement)

The half-day tutorial will be a joint venture with TU Darmstadt, Vienna University of Technology, and Edinburgh Napier University. It covers how data comparison can be effectively supported by visual analytics solutions combining interactive visualization and algorithmic analysis. The tutorial will be held at a beginner to intermediate level and cater to researchers and practitioners alike.