Gunnar König
Postdoctoral Research Scientist at Eberhard Karls Universität Tübingen
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolGunnar König is a postdoctoral research scientist based in Munich with 10 years of machine learning experience, specializing in trustworthy AI, explainable AI, and causal inference. He completed a PhD and multiple research appointments across LMU Munich, Universität Wien, and now Eberhard Karls Universität Tübingen, applying causal and XAI methods to medical applications. Gunnar combines deep technical training in data science, information systems, and mathematics with hands-on experience building ML systems for startups and consulting on team hiring and coordination. His profile blends rigorous academic research with practical deployment experience, making him adept at translating causal insights into clinically relevant, interpretable models.
10 years of coding experience
8 years of employment as a software developer
Ludwig Maximilian University of MunichUniversité de Montréal - École Polytechnique de MontréalBachelor of Science (B.Sc.), Information Systems, Bachelor of Science (B.Sc.), Information Systems at Technische Universität München
German, English, French, Spanish, Latin
Github Skills (55)
bayesian10
compilation9
variational-inference9
probabilistic-programming9
python9
machine-learning9
probabilistic9
probabilistic-models9
probabilistic-graphical-models9
density-estimation9
bayesian-inference9
deep-learning8
mcmc8
pyro8
diffraction8
Programming languages (6)
Github contributions (5)
gcskoenig/gcskoenig.github.io
May 2019 - Dec 2024
Contributions:165 pushes in 5 years 8 months
gcskoenig/fippy
Jul 2020 - Dec 2022
Feature Importance with Python
Contributions:15 reviews, 303 commits, 94 PRs in 2 years 5 months
feature-importancepythonrelativeimportancemachine-learning
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