I wrote one of the most widely cited books on machine learning interpretability, used in university courses and industry teams around the world, along with several other books and the Mindful Modeler newsletter, read by thousands of data scientists. Today I work as a Senior AI Scientist at SAP.
When I’m not working on foundation models, I enjoy cooking and calisthenics.
By the Numbers
18k+ Google Scholar Citations
18k+ Newsletter Subscribers
5k+ GitHub Stars
6 Books Written
Education
I began my education in classical statistics, but during my Master’s, I developed a strong interest in machine learning. This led me to pursue a PhD in interpretable machine learning.
| Date | Degree | Where | Thesis |
|---|---|---|---|
| Jul 2022 | PhD | LMU | Model-agnostic Interpretable Machine Learning |
| Oct 2014 | MSc in Statistics | LMU | Modeling the booking behavior of customers of a touristic company |
| Sep 2012 | BSc in Statistics | LMU | Automatic Generation of Interactive SVG Maps |
Work Experience
I’ve worked across industry, academia, NGOs, and as a self-employed professional. Today, I’m most at home in the space between theory and practice.
| What | Where | When |
|---|---|---|
| Senior AI Scientist | SAP | Oct 2026 - Present |
| ML Author | Self-Employed | Mar 2022 - Sep 2026 |
| AI Consultant | Johner Institute GmbH | Oct 2021 - Dec 2021 |
| Researcher | BIPS GmbH | Jun 2021 - Sep 2021 |
| PhD Candidate | LMU Munich | Oct 2017 - May 2021 |
| Statistician | SCQM Foundation | Jan 2016 - Aug 2017 |
| Data Scientist | Centralway AG | Nov 2014 - Nov 2015 |
| Side jobs | Various | Oct 2010 - Aug 2014 |
Media
- Maschine, erkläre dich, Süddeutsche Zeitung (German)
- AI Fundamentalists (about Supervised ML for Science)
- AI Fundamentalists
- Machine Learning Street Talk
- Analytics Vidhya
- Johner Institute (German)
- Data Futurology
- Data Skeptic
- Keynote at ECML-PKDD 2020: “Interpretable Machine Learning – State of the Art and Challenges”
- Keynote at Johner Institutstag 2020: “Interpretable Machine Learning”
