Professor at Julius-Maximilians-Universität Würzburg
Würzburg, Bavaria, Germany
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Summary
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Ingo Scholtes is a Full Professor and chairing researcher in Machine Learning for Complex Networks at Julius-Maximilians-Universität Würzburg, combining 14 years of experience in machine learning, network science, and graph mining. His work bridges theory and empirical analysis, with foundational contributions on higher-order graph analytics for time series featured in Nature Physics. He has secured major competitive funding (including a CHF 1.5M SNSF professorship) and holds leadership roles in CAIDAS, ELLIS, and the German Informatics Society’s Computational Social Science section. Trained at ETH Zürich and summa cum laude PhD from Universität Trier, he blends rigorous mathematical grounding with practical graph-learning methods. Beyond academia, he follows empirical software engineering and maintains active engagement with the research community through editorial and organizational service.
15 years of coding experience
Dr.rer.nat., Informatik, summa cum laude, Dr.rer.nat., Informatik, summa cum laude at Universität Trier
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Contributions:2 PRs, 12 pushes in 2 years 9 months
reactscienceresearch-outputselectivefinding
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