Project 10: Interpretable Latent Space Generative Models for Galaxy Evolution

Lead PIs: Aleksandra Ćiprijanović (Fermilab; aleksand at fnal.gov), Sandeep Madireddy (Argonne National Laboratory)
Co-PIs: Alexander Ji (UC), Aggelos Katsaggelos (NU), Michael Maire (UC), Tjitske Starkenburg (NU), Allison Strom (NU), Michael Zevin (Adler)
Students: Anirban Samaddar (ANL), Aidan Simpson (UC) 
Collaborators: Emma Alexander (NU), Gourav Khullar (U Washington), Jennifer Li (UIUC), Tim Miller (NU), Greg Shakhnarovich (TTIC), Sasha Tchekhovskoy (NU), Chun-Hao To (UC), Rebecca Willett (UC)
Project Summary: This project aims to develop AI methods for studying the evolution of galaxies, including generative models to create synthetic data and inference tools for learning galaxy properties.

The SkAI Institute is one of the National Artificial Intelligence Research Institutes funded by the U.S. National Science Foundation and Simons Foundation.
Information on National AI Institutes is available at aiinstitutes.org.