Researcher

Eyke Hüllermeier

Also known as Eyke Hullermeier

Eyke Hüllermeier is a computer scientist whose work centers on machine learning, especially preference learning and uncertainty. He earned a doctorate at Paderborn University in 1997 and held professorships at Marburg, Dortmund and Magdeburg before taking up a professorship at Paderborn in 2014. With Johannes Fürnkranz, he edited Preference Learning, published by Springer in 2010. The International Fuzzy Systems Association gave him the Zadeh Prize in 2019. As of October 2026, he heads the Chair of Artificial Intelligence and Machine Learning at LMU Munich, which he joined in 2021.

Timeline

  1. 1997–2002

    A doctorate at Paderborn

    He completes a computer science doctorate at Paderborn University in 1997. After a Marie Curie fellowship at IRIT in Toulouse from 1998 to 2000, he habilitates in 2002.

  2. 2002–2014

    Chairs at Marburg and Dortmund

    He holds professorships at Marburg from 2002 to 2004, at Dortmund in 2004 and at Magdeburg from 2005 to 2006. A second professorship in Marburg follows from 2007 to 2014.

  3. 2010

    Co-editing Preference Learning

    Johannes Fürnkranz and he co-edit Preference Learning, published by Springer in 2010.

  4. 2014–2021

    Professor at Paderborn

    A professorship at Paderborn begins in 2014 and runs until 2021.

  5. 2019

    The L.A. Zadeh Prize

    In 2019, the International Fuzzy Systems Association awards him the L.A. Zadeh Prize.

  6. October 2019

    Aleatoric and epistemic uncertainty

    In October 2019, he and Willem Waegeman submit an introduction to aleatoric and epistemic uncertainty in machine learning to arXiv.

  7. Since 2021

    Chair at LMU Munich

    He moves to LMU Munich in 2021, after a professorship at Paderborn.

  8. As of October 2026

    Heading the LMU chair

    At LMU Munich, he heads the Chair of Artificial Intelligence and Machine Learning, and he is president of the European Association for Data Science.

Sources and credits

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  1. Eyke Hüllermeier – Wikipedia de.wikipedia.org. Checked 14 October 2026.
  2. Contact page - Chair of Artificial Intelligence and Machine Learning - LMU München ifi.lmu.de. Checked 14 October 2026.
  3. Preference Learning epub.ub.uni-muenchen.de. Checked 14 October 2026.
  4. Eyke Hüllermeier · Harvard Data Science Review hdsr.mitpress.mit.edu. Checked 14 October 2026.
  5. [1910.09457] Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods arxiv.org. Checked 14 October 2026.
  6. Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods | ML Anthology mlanthology.org. Checked 14 October 2026.
  7. MCML - Research Group Eyke Hüllermeier mcml.ai. Checked 14 October 2026.