I'm a professor at the Technical University of Munich in the Informatics Department and a group leader at Helmholtz AI working on causality and socially beneficial machine learning. I'm also part of MCML, the Konrad Zuse School relAI, and ELLIS (and the Munich Unit).

I obtained my PhD in the Cambridge-Tübingen program (with generous donations from Microsoft) as an Ellis student  and member of Pembroke College. During my PhD I interned at Deepmind, Google, and Amazon.

I grew up in Austria, studied Physics and Mathematics in Regensburg, and was fortunate to spend time at Harvard and Stanford during my studies.

News

Group members

PhD students

Alumni

Prospective students

MSc, BSc, HiWi, guided research, internships

If you are interested in doing your MSc or BSc thesis with me or a guided research project (only for TUM students) please email me directly with a CV, current transcripts, and some directions you would be interested in.

PhD students

I advertise all openings for PhD students on this homepage and on X. If there are no current openings, please feel free to reach out directly via email and let me know why you'd be an excellent fit for the group.

Postdocs

If you're interested in doing a postdoc with me, I'm keen to hear from you. Please reach out directly via email.

Teaching @TUM

Selected publications

PhD thesis

Beyond traditional assumptions in fair machine learning [thesis pdf (arxiv)]
PhD Thesis @ University of Cambridge

Book

Quod erat knobelandum [springer] [amazon]
Clara Löh, Stefan Krauss, NK
Springer Spektrum (1st edition: 2016, 2nd edition: 2019)

Theses and projects

Activities