Ingo Scholtes

Professor at Julius-Maximilians-Universität Würzburg

Würzburg, Bavaria, Germany
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Summary

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Senior
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Top School
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.
code15 years of coding experience
bookDr.rer.nat., Informatik, summa cum laude, Dr.rer.nat., Informatik, summa cum laude at Universität Trier
bookPostdoc, Postdoc at ETH Zürich
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Github Skills (26)

python10
network-analysis10
data-mining10
graph10
graphical-models10
python-modules10
ranking10
science10
computer-science10
react10
data-science9
data-analytics9
machine-learning9
time-series9
graph-neural-network9

Programming languages (3)

HTMLRubyPython

Github contributions (5)

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IngoScholtes/NETGen

Aug 2011 - Mar 2012

Contributions:58 commits in 7 months
IngoScholtes/CSrankings

Jan 2022 - Oct 2024

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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