Research Group Daniel Grün
Daniel Grün
Prof. Dr.
Associate
Daniel Grün
is Professor for Astrophysics, Cosmology, and Artificial Intelligence at LMU Munich.
He is working towards a holistic version of data-driven cosmology that integrates expertise in observational data collection and calibration, statistical analysis, machine learning, analytical insights into cosmic structure formation, galaxy evolution, and fundamental physics. His group applies these techniques and tests their own models.
Team members @MCML
PhD Students
Jed Homer
→ Group Daniel Grün
Astrophysics, Cosmology and Artificial Intelligence
Parth Nayak
→ Group Daniel Grün
Astrophysics, Cosmology and Artificial Intelligence
Publications @MCML
2025
[3]
S. Chang • P. Nayak • M. Walther • D. Grün
Human vs. machine -- 1:3. Joint analysis of classical and ML-based summary statistics of the Lyman-α forest.
Astronomy & Astrophysics In press. Aug. 2025. Preprint. arXiv
Human vs. machine -- 1:3. Joint analysis of classical and ML-based summary statistics of the Lyman-α forest.
Astronomy & Astrophysics In press. Aug. 2025. Preprint. arXiv
[2]
J. Homer • O. Friedrich • D. Grün
Simulation-based inference has its own Dodelson-Schneider effect (but it knows that it does).
Astronomy & Astrophysics 699.A213. Jul. 2025. DOI
Simulation-based inference has its own Dodelson-Schneider effect (but it knows that it does).
Astronomy & Astrophysics 699.A213. Jul. 2025. DOI
[1]
J. Homer • O. Friedrich
SBIAX: Density-estimation simulation-based inference in JAX.
The Journal of Open Source Software 10.105. Jan. 2025. DOI
SBIAX: Density-estimation simulation-based inference in JAX.
The Journal of Open Source Software 10.105. Jan. 2025. DOI
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