Scholar
Maximilian Dax
Google Scholar ID: VRBv6mEAAAAJ
ELLIS Institute Tübingen, Max Planck Institute for Intelligent Systems
Citations & Impact
Citations
1,891
H-index
17
i10-index
22
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published several high-impact papers, including:
- - Nature paper on real-time inference for binary neutron star mergers using machine learning
- - PRL paper on neural importance sampling for rapid and reliable gravitational-wave inference
- - PRL paper on real-time gravitational wave science with neural posterior estimation
Research Experience
- Joining ELLIS and MPI as an independent research group leader in September 2025. Research focuses on driving discovery through machine learning, particularly in generative modeling, inverse problems, and simulation-based inference.
Education
- PhD defended in July 2025, advisors include Bernhard Schölkopf, Jakobs Macke, and Stephen Green.
Background
- Machine learning researcher and physicist. Leads the Science and Probabilistic Intelligence (SPIN) group at the ELLIS Institute and the Max Planck Institute for Intelligent Systems. Focuses on foundational research on probabilistic AI and applied research in science, particularly in generative modeling, inverse problems, and simulation-based inference.
Miscellany
- Open to discussing research ideas or potential collaborations. Currently hiring PhD students, postdocs, and interns.
Co-authors