Melanie Herschel

Melanie Herschel's particular interests of research are in data provenance, data integration, data cleaning (especially entity resolution), and data-centric workflow processing. The overarching goal of her research is to automatically prepare and engineer massive heterogeneous data for use in various real-life applications.

Education and Degrees

• 2008 Dr. rer. nat., Computer Science, Humboldt-University Berlin
• 2003 Dipl.-Ing. (BA), University of Cooperative Education, Stuttgart
• 2000 – 2003 Studies in Information Technology, University of Cooperative Education, Stuttgart

Professional Career

• 2014 – present Professor (W3) for Data Engineering, Institute for Parallel and Distributed Systems, University of Stuttgart
• 2011 – 2014 Associate Professor, Department of Computer Science, University of Paris South, France
• 2009 – 2011 Postdoctoral researcher, Wilhelm Schickard Institute for Computer Science, University of Tübingen
• 2008 – 2009 Postdoctoral researcher at IBM Research, Almaden, Intelligent Information Integration group, CA, USA
• 2006 – 2008 PhD and postdoctoral researcher, Hasso Plattner Institute Potsdam
• 2003 – 2006 PhD student, Department of Computer Science, Humboldt- University Berlin
• 2000 – 2003 IBM Deutschland GmbH