U.S. Department of Energy

Pacific Northwest National Laboratory

Enabling Discovery through Interactive Visual Data Analysis

Tuesday, July 19, 2016
Dr. Alexander Lex
Assistant Professor of Computer Science at the Scientific Computing and Imaging Institute and the School of Computing
University of Utah
Scientific discovery today is increasingly data driven and requires computational support. However, there is an important class of problems for which purely automatic approaches do not suffice since they require human reasoning and decision making, and can benefit from contextual knowledge humans possess. In my talk I will show how to support this interplay between data, computation, visualization, and humans. I will give examples for visual analysis tools applied to large and multivariate networks, set data, and interactive, multi-attribute ranking.
Speaker Bio

Alexander Lex is an Assistant Professor of Computer Science at the Scientific Computing and Imaging Institute and the School of Computing at the University of Utah. Before joining Utah, he was a lecturer and a post-doctoral visualization researcher in Hanspeter Pfister's group at the Harvard School of Engineering and Applied Sciences. He received his PhD from the Graz University of Technology in 2012. In 2011 he was a visiting researcher at the Computational Genomics Research Group at Harvard Medical School. His primary research interests are data visualization, especially applied to molecular biology, and human computer interaction. He is one of the core developers and leaders of the Caleydo project, an open-source framework for the visualization of biological data.

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