Niki Kilbertus
Scholar

Niki Kilbertus

Google Scholar ID: uQZjTq4AAAAJ
Technical University of Munich & Helmholtz Munich
Machine Learning
Citations & Impact
All-time
Citations
2,450
 
H-index
19
 
i10-index
28
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • Awarded the Leopoldina Prize for Young Scientists in 2024 and won an ERC Starting Grant in 2025. Multiple papers accepted at NeurIPS 2025, ICML 2025, Communications in Mathematical Sciences, Scientific Reports, CLeaR 2025, and ICLR 2025.
Research Experience
  • Currently a professor at the Technical University of Munich and a group leader at Helmholtz AI, with research interests in mechanistic ML, causality, dynamical systems, and broader AI for science. Has supervised multiple PhD and MSc students.
Education
  • Obtained a PhD in the Cambridge-Tübingen program (with generous donations from Microsoft) as an Ellis student and member of Pembroke College. Interned at Deepmind, Google, and Amazon during the PhD. Grew up in Austria, studied Physics and Mathematics in Regensburg, and spent time at Harvard and Stanford during studies.
Background
  • Professor at the Technical University of Munich in the Informatics Department and a group leader at Helmholtz AI (at Helmholtz Munich) working on mechanistic ML, causality, dynamical systems, and more broadly AI for science. Also part of MCML, the Konrad Zuse School relAI, and ELLIS (the Munich Unit). Since 2024, a member of the Junge Akademie.
Miscellany
  • Personal interests not mentioned