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Ingo Scholtes is an SNSF Professor for Data Analytics at the Department of Informatics at the University of Zurich. He has a background in computer science and mathematics and received his doctorate degree from the University of Trier in Germany. At CERN, he developed a large-scale data processing framework that is currently used to monitor particle collision data within the Large Hadron Collider. After finishing his doctorate degree, he was a postdoctoral researcher at the Chair of Systems Design at ETH Zürich from 2011 till 2016. In 2016 he held an interim professorship for Applied Computer Science at the Karlsruhe Institute of Technology. In 2017 he returned to ETH Zürich as a senior assistant and lecturer. He is an associate editor of EPJ Data Science.
Ingo's research focuses on new data analytics methods for time series data on networks, with applications in information systems, empirical software engineering and computational social science. At the German Informatics Society (GI) he serves as founding co-chair of the Computational Social Science working group, as elected member of the presiding committee, and as a member of the Data Science Task Force. In 2014 he was awarded a Junior-Fellowship from the German Informatics Society.
In 2018 he received an SNSF Professorship Grant from the Swiss National Science Foundation. Since July 2019, he is a Full Professor of Data Analytics at the Faculty of Mathematics and Natural Sciences of Bergische Universität Wuppertalin Germany.
For those interested, his Erdös number is at most four.