Exploring how interactive tools can help astronomers identify potentially incorrect labels and unusual patterns in large collections of radio astronomy data — NSF-Simons AI Institute for Cosmic Origin...

CosmicAI Accelerated Universe Postdoctoral Fellow — NSF-Simons AI Institute for Cosmic Origins

Building Accountability and Trust with AI in Research with Sanjana Gautam

Exploring why vision-language models hallucinate visual details of nonexistent objects to follow prompt-based information — NSF-Simons AI Institute for Cosmic Origins

Clustering spectral cubes from radio astronomy with Josh Taylor

Bayesian Radio Spectral Modeling of Extreme Starburst Galaxies with Omkar Bait

Recovering high resolution information from blurred images crowded with stars — NSF-Simons AI Institute for Cosmic Origins

VESTA: Visual Exploration with Statistical Tool Agents with William Rudman

Developing a faster AI method for reconstructing the early universe from 3D maps of today’s cosmos — NSF-Simons AI Institute for Cosmic Origins

Dark Matter and Early Cosmic History with Saiyang Zhang (PhD student at UT Austin)

Applying machine-learning methods for scalable and validated radio astronomy data preparation and quality assurance — NSF-Simons AI Institute for Cosmic Origins

How the First Galaxies Ionized the Neutral Hydrogen at the Cosmic Scales — NSF-Simons AI Institute for Cosmic Origins

Mapping Dark Matter with Stars and AI (Xiaowei Ou, Postdoc at UVA)

Quasar: An AI Powered Research Assistant for Astronomy Archive Workflows with Adam Zacharia Anil

HATANN: High-dimensional approximation using Taylor expansions and Adaptive Nearest Neighbors

Graduate Certificate in Artificial Intelligence and Machine Learning | Computer & Data Science Online

Unraveling the origins of Supermassive Black Holes using Cosmological Simulations & Machine Learning

Making astronomical archives more accessible through AI: STABLE (Summer Team for Astronomical Benchmarking & LLM Engineering) highlights — NSF-Simons AI Institute for Cosmic Origins

“Vector Summary Pseudo Posteriors for Simulation-Based Inference with Applications to Cosmology” presented at the STAI-X conference at Harvard — NSF-Simons AI Institute for Cosmic Origins

MANNA – An MCP Server for Accessing Astronomical Archives (Dan Gause, postbac researcher - NSF NRAO)

Reduced order modeling of chemical kinetics with Arjun Vijaywargiya (Postdoctoral Fellow)

Astronomers and AI Experts Unite at 2026 Cosmic Horizons Conference - National Radio Astronomy Observatory

Applying Machine Learning Techniques to Anomalous Microwave Emission (AME)

Efficient Regression Scan Statistics for Detecting Anomalies in ALMA Radio Telescope Data

How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Research — NSF-Simons AI Institute for Cosmic Origins

Cosmic Horizons 2026: Uniting Astronomers and AI Experts at NSF NRAO — NSF-Simons AI Institute for Cosmic Origins

HARLEE: Your Next RV Observing Partner with theJoker (Yanbo Pan, UVA)