I'm a professor at the Technical University of Munich in the Informatics Department and a group leader at HelmholtzAI working on causality and socially beneficial machine learning.

I obtained my PhD in the Cambridge-Tübingen program co-supervised by Bernhard Schölkopf, Carl Rasmussen, and Adrian Weller. I was an Ellis student and member of Pembroke College, funded by the Cambridge-Tübingen PhD fellowship with generous donations from Microsoft.

During my PhD I interned at Deepmind, Google, and Amazon.

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


Group members

PhD candidates

MSc students


Selected publications

PhD thesis

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


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

Theses and projects

  • Master Thesis Physics: Numerical Analysis of Gravitational Wave Generation during Metric Preheating [thesis] [code]

  • Master Thesis Mathematics: Numerical Analysis of Causal Fermion Systems on R x S^3 [thesis]

  • Physics Research Project: Sky-MoCa: The Skyrmion Phase in 3D Lattice Simulations [report] [code]