I’m a statistician, machine learning expert, and writer. I write about machine learning topics that got beyond mere performance: interpretability, uncertainty quantification and the mindsets behind modeling.

I love breaking down arcane knowledge into understandable language. My work is that of a translator and curator of academic results into data science practice. Turning papers into books. So far, I’ve written the books Interpretable Machine Learning and Modeling Mindsets. I regularly publish Mindful Modeler, a newsletter on machine learning.

When I’m not writing or learning, I enjoy cooking and calisthenics.

My Books

My Newsletter

Media Occurences

News articles


Keynote Talks

  • Keynote at ECML-PKDD 2020: “Interpretable Machine Learning – State of the Art and Challenges”
  • Keynote at Johner Institutstag 2020: “Interpretable Machine Learning”