Münchmeyer Cosmology Group

Computational and Theoretical Cosmology at UW–Madison

Welcome to Moritz Münchmeyer's Cosmology Group

The research group of Prof. Moritz Münchmeyer is developing computational and theoretical methods to probe fundamental physics with cosmology. With our methods we are contributing to several experimental collaborations, in particular Simons Observatory, Rubin Observatory and CHIME-FRB. You can learn more about our research here. At UW Madison we are part of the Cosmology Group and the High Energy Physics group.

A part of our research is focusing on Machine Learning methods, which have exciting potential for cosmology. With this work we are contributing to the Machine Learning Initiative of the Physics Department.

Moritz joined UW–Madison as Assistant Professor in January 2021. You can read his welcome interviews: Dept Interview | UW–Madison Interview

At UW–Madison we are fortunate to have a striving cosmology community with lots of interactions between the faculty and group members. If you are interested you are welcome to attend our weekly cosmology journal club.

If you are interested in joining our group please contact Moritz by email at muenchmeyer@wisc.edu or drop by his office 6205 in Chamberlin Hall.

profile photo Moritz Munchmeyer

Recent news

June 30th 2022. Our group, together with Prof. Gary Shiu (physics) and Prof. Kangwook Lee (ECE/CS), has received a UW Madison Research Forward Grant for the project Reconstructing the Big Bang with Physics-Guided Machine Learning. We are looking forward to developing new ideas together with Machine Learning researchers here at UW, with the ultimate goal of learning more about the physics of the universe.

June 10th 2021. CHIME-FRB published its first Fast Radio Burst catalog, starting a new era of FRB physics with large statistical samples. At UW we contributed to the statistical analysis of this data. You can read more about this here.

May 25th 2021. Congrats to Adam for leading his first paper, Normalizing flows for random fields in cosmology, which applies a new Machine Learning method to statistical fields in cosmology. We are working on several exciting applications of this method.