Moritz Münchmeyer

Moritz Münchmeyer is an Assistant Professor in the Department of Physics at the University of Wisconsin-Madison. His research focuses on the intersection of cosmology and machine learning, specifically applying advanced computational techniques to analyze large-scale cosmological data and address fundamental questions in theoretical physics. He is affiliated with the College of Letters & Science.

His research interests include cosmological field reconstruction, non-Gaussianity detection, CMB analysis, and developing novel neural network architectures for astrophysical data. Key projects involve collaborations with initiatives like the CHIME/FRB experiment, the Simons Observatory, and CMB-S4.

Recent work emphasizes leveraging machine learning for tasks such as superresolution emulation of cosmological fields, Bayesian analysis of fast radio bursts, and forecasting cosmological parameters with Euclid and MegaMapper surveys. His methods often integrate deep learning with traditional astrophysical modeling to enhance data interpretation.

Münchmeyer has contributed to studies of the kinetic Sunyaev-Zel’dovich effect, primordial non-Gaussianity, and the statistical analysis of large-scale structure. His work bridges theoretical predictions with observational data, addressing challenges in precision cosmology and astrophysical signal processing.