Students Haotian Cao, Puxin Lin, and Jacky Yip presented at the Lepton-Photon 2025 Conference: https://indico.cern.ch/event/1493037/timetable/?view=standard

Puxin Lin presented an invited talk at the String Pheno Seminar Series: https://www.youtube.com/watch?v=Y9chiLBamME based on his recent papers: https://inspirehep.net/literature/2824812 https://inspirehep.net/literature/2898365

Congratulations to Qing (Helena) Huang for winning the Wisconsin Hilldale Undergraduate/Faculty Research Fellowship! HILLDALE UNDERGRADUATE/FACULTY RESEARCH FELLOWSHIP

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)

New paper by Puxin Lin, Alessandro Mininno, and Gary Shiu on “Formulating the Weak Gravity Conjecture in AdS Space” posted on the arXiv: https://arxiv.org/abs/2503.05862.

Puxin Lin gave his first talk at the Worldline Seminars: https://sites.google.com/view/worldlineseminars/ based on his paper: https://arxiv.org/abs/2409.02197. Recording of the talk: https://plymouth.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=4849ebb8-8123-4f3e-8299-b24201067a0c

Congratulations to Jacky Yip on passing the prelim exam. The title of his presentation is “Topological Data Analysis for Cosmology”: https://www.physics.wisc.edu/events/?id=9005

URS students in Shiu’s group presented at the Undergraduate Research Symposium on April 25, 2024: Manu Korupolu: “Topological Data Analysis and its Applications to Physics” Rachelle Lang: “Towards Quantiative Topological Statements about Neural Networks” Keiji Toriumi: “Using Topological Neural Networks for Cosmology”