• Geo-Visualization
• Geo Visual Analytics

since Feb 2010: PROGRESS, Potsdam Research Cluster for Georisk Analysis, Environmental Change and Sustainability, sub-project "Information integration and visualization"

• since Feb 2010: Postdoctoral Research Scientist, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Project PROGRESS
• 2008-Jan  2010: Postdoctoral Research Scientist; Max-Planck-Institut Informatik
• 2006-2008: Visiting Assistance Professor; Stanford University
• 2005-2006: Postdoctoral Research Scientist; University of Konstanz
• 2005: PhD in Computer Sciene (Dr. rer. nat), University of Konstanz, "Visual Data Mining in Large Geo-Spatial Point Sets"
• 2001-2005: Research Scientist; University of Konstanz;
• 2001: Master in Computer Science (Dipl. Inf.), Martin-Luther-University Halle-Wittenberg, Thesis: "Visual Data Mining in E-Commerce Systems – Analyzing Customer Satisfaction”

• 2006-2008: PostDoctoral Research Fellow at Max-Planck-Center for Visual Computing
• 2006: IEEE InfoVis Contest Overall Winner (together with Sebastian Belle, Daniela Oelke and Sonja Oettl)
• 2006: EADS Dornier Research Award for Outstanding PhD Thesis

• Mike Sips, Boris Neubert, John P. Lewis, Pat Hanrahan. Selecting good views of high-dimensional data using class consistency, Computer Graphics Forum (Proc. EuroVis 2009), Vol. 28, No. 3, 2009.
• Joern Schneidewind, Mike Sips, Daniel A. Keim. An Automated Approach for the Optimization of Pixel-based Visualizations, Information Visualization, Palgrave Macmillan, Vol. 6, No. 1, doi:10.1057/palgrave.ivs.9500150, 2007.
• Mike Sips, Joern Schneidewind, Daniel A. Keim. Highlighting Space-Time Pattern: Effective Visual Encodings for Interactive Decision Making, International Journal of Geographical Information Science (IJGIS), Vol. 21, No. 8, Taylor & Francis, 879 - 893, doi:10.1080/13658810701362147, 2007.