My research is on data visualization methods for domain experts. I design, build, and study interactive visual data analysis solutions that aid researchers in data driven fields, such as biology and medicine, in understanding and communicating complex data sets.
I am an Associate Professor of Computer Science at the Scientific Computing and Imaging Institute and the School of Computing at the University of Utah. I direct the Visualization Design Lab where we develop visualization methods and systems to help solve today’s scientific problems.
Before joining the University of Utah, I was a lecturer and post-doctoral visualization researcher at Harvard University. I received my PhD, master’s, and undergraduate degrees from Graz University of Technology. In 2011 I was a visiting researcher at Harvard Medical School.
I am the recipient of an NSF CAREER award and multiple best paper awards or honorable mentions at IEEE VIS, ACM CHI, and other conferences. I also received a best dissertation award from my alma mater. I co-founded Datavisyn, a startup company developing visual analytics solutions for the pharmaceutical industry. In addition to writing papers, our lab publishes a lot of visualization software. My most popular tool is UpSet, a set visualization technique. You can find other visualization software on our GitHub Page.
I’m on sabbatical for the 2021/2022 academic year, going back to my native Austria to work for datavisyn, the company I co-founded, and working with Marc Streit and his group at Johannes Kepler University.
Because of my sabbatical I’m currently not taking on students, PostDocs, or service assignments.