Group News

Congratulations to Puxin Lin for successfully passing the Prelim (PhD candidacy) Exam

Congratulations to Puxin Lin for successfully passing the Prelim (PhD Candidacy) Exam!

Primordial non-Gaussianity — Fast simulations and persistent summary statistics

Check out our new paper: https://arxiv.org/abs/2512.09852 where we introduced the PNG-pmwd Suite —  a collection of 22,410 halo catalogs developed to support data-driven analyses of large-scale structure formation and the impact of primordial non-Gaussianity (PNG). Topological data analysis together with machine learning can unlock new ways to squeeze out early Universe signals beyond traditional n-point statistics:

https://png-pmwd-suite.readthedocs.io/en/latest/

Puxin Lin presenting his work on black holes at the Board of Visitors Meeting

Undergraduate advisees Aditya Goyal, Helena Huang, and Joseph Zarling presenting at the 2025 Undergraduate Symposium

Undergraduate advisees Aditya Goyal, Helena Huang, and Joseph Zarling presenting at the 2025 Undergraduate Symposium on Friday, April 25, 2025:
https://docs.google.com/spreadsheets/d/1ar5FSPxhS8y5QB1ZtITYrERUZvZp1mnJ0jda2SaQsQU/edit?gid=973963874#gid=973963874

https://ugradsymposium.wisc.edu/wp-content/uploads/sites/454/2025/04/2025-Undergraduate-Symposium-Abstract-Book.pdf

GENERATING PYTHON SCRIPTS TO GAIN INSIGHTS INTO HOW NN LEARNS (Aditya Goyal)

TOPOGRAPHNET: ENHANCING GRAPH LEARNING IN COSMOLOGY WITH PERSISTENT HOMOLOGY (Helena Huang)

Computer, Data, and Information Sciences (Joseph Zarling)