Research

In the era of Big Data, we process and present vast amounts of heterogeneous data in constant pursuit of insight. A main challenge in understanding such complex data is to identify, interpret, and navigate relevant discernible areas (patterns) such as clusters, outliers, or correlations. Over the past years, I addressed this challenge and developed novel methods to make sense of large sets of heterogeneous data. Following, you may get an impression of my work.

Teaching Assistance

| SS 2013 | Database Systems (Teaching Assistant) | | WS 2013/2014 | Computer Systems and Networks (Teaching Assistant) | | SS 2015 | Information Visualization II (Teaching Assistant) | | WS 2015/2016 | Computational Methods for Document Analysis (Teaching Assistant) | | SS 2016 | Information Visualization II (Teaching Assistant) | | WS 2016/2017 | Analysis and Visualization (Teaching Assistant) | | SS 2017 | Information Visualization II (Teaching Assistant) |