Michael Lohaus
Research Scientist at Yahoo
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolMichael Lohaus is a research scientist with nine years of experience applying machine learning to real-world problems, currently at Yahoo after a recent role helping public-sector clients adopt LLMs and RAG systems. He holds a PhD in Machine Learning from the University of Tübingen and blends rigorous academic research on fairness with hands-on engineering from internships at AWS and consulting engagements. Comfortable moving models from prototype to production, he focuses on trustworthy, practical AI for policy-sensitive domains. Based in Berlin, he brings an uncommon mix of economathematics training and public-sector product experience that helps bridge technical innovation and regulatory considerations.
9 years of coding experience
Master of Science - MS Economathematics, Master of Science - MS Economathematics at University of ColognePhD Machine Learning, PhD Machine Learning at University of Tübingen
Github Skills (7)
classification-algorithm7
binary-classification6
fairness-ml5
classification5
machine-learning5
python4
deep-learning3
Programming languages (1)
Github contributions (4)
mlohaus/SearchFair
Jun 2020 - Apr 2021
Binary classification algorithm under fairness considerations.
Contributions:3 commits, 12 pushes, 1 branch in 10 months
fairness-mlpythonbinary-classificationclassification-algorithmdeep-learning
mlohaus/mlohaus.github.io
Nov 2020 - Dec 2022
Contributions:14 pushes, 1 branch in 2 years 1 month
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