IC Colloquium : Enabling Scientific Discovery through Interactive Visual Data Analysis
Event details
| Date | 26.03.2015 |
| Hour | 10:15 › 11:30 |
| Location | |
| Category | Conferences - Seminars |
By : Alexander Lex - Harvard School of Engineering
IC Faculty candidate
Abstract :
Today, scientific discovery 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 from molecular biology, specifically multivariate biological networks, but also introduce broadly applicable visual analysis methods for the analysis of multivariate ranking data and set-based data.
Bio :
Alexander Lex is a lecturer and post-doctoral visualization researcher in the Visual Computing Group led by Hanspeter Pfister at the Harvard School of Engineering and Applied Sciences. He received his PhD, Master's and undergraduate degrees from the Institute for Computer Graphics and Vision at the Graz University of Technology. In 2011 he was a visiting researcher at Prof. Peter Park's Computational Genomics Research Group at Harvard Medical School.
He develops interactive data analysis methods for experts and scientists. He is a co-founder and leader of the Caleydo Project, which is both, a data visualization suite for molecular biology and a platform for implementing prototypes of radical visualization ideas. Alexander is the recipient of an Erwin Schroedinger Fellowship, granted by the Austrian Science Fund, and has won numerous awards, including multiple best paper awards or honorable mentions at visualization conferences and a best dissertation award from his alma mater.
More information
IC Faculty candidate
Abstract :
Today, scientific discovery 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 from molecular biology, specifically multivariate biological networks, but also introduce broadly applicable visual analysis methods for the analysis of multivariate ranking data and set-based data.
Bio :
Alexander Lex is a lecturer and post-doctoral visualization researcher in the Visual Computing Group led by Hanspeter Pfister at the Harvard School of Engineering and Applied Sciences. He received his PhD, Master's and undergraduate degrees from the Institute for Computer Graphics and Vision at the Graz University of Technology. In 2011 he was a visiting researcher at Prof. Peter Park's Computational Genomics Research Group at Harvard Medical School.
He develops interactive data analysis methods for experts and scientists. He is a co-founder and leader of the Caleydo Project, which is both, a data visualization suite for molecular biology and a platform for implementing prototypes of radical visualization ideas. Alexander is the recipient of an Erwin Schroedinger Fellowship, granted by the Austrian Science Fund, and has won numerous awards, including multiple best paper awards or honorable mentions at visualization conferences and a best dissertation award from his alma mater.
More information
Practical information
- General public
- Free
- This event is internal
Contact
- Host : Mark Pauly