Scholar
Mario Krenn
Google Scholar ID: jzG7GC8AAAAJ
Professor for Machine Learning in Science, University of Tübingen
Citations & Impact
Citations
10,080
H-index
46
i10-index
66
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Awarded an ERC Starting Grant 2024; Published articles in Scientific American, National Academy of Science, and Quanta Magazine; Authored a 2022 Nature Review Physics perspective; Published a paper in Science Advances on violation of Bell inequality with unentangled photons.
Research Experience
- Presented talks at multiple international conferences such as Max Planck Institute for Multidisciplinary Sciences, ML4Science Cluster Conference, AIMat Summer School 2025 ML4Materials, etc.; Developed PyTheus tool for discovering new photonic gates and high-dimensional multipartite entanglement.
Background
- Full Professor (W3) of 'Machine Learning in Science' at the University of Tübingen, leading the Artificial Scientist Lab. Excited about artificial intelligence-inspired and -augmented science, focusing on using algorithms in a more 'creative' way. Research interests include designing quantum experiments and hardware, building autonomously semantic networks from scientific publications, and using machine learning to predict and suggest personalized future research questions.
Miscellany
- Personal interests include accelerating scientific progress through AI and uncovering the secrets of the Universe.
Co-authors