Abstract:

1. (How) Do Astronomers Trust AI for Research?

2. Navigating the Cosmic Library -Whose Telescope Is It Anyway?

3. Hidden Mechanisms of Language Models in Astronomy Literature

4. Hidden Mechanisms of Vision Models in Galaxy Images

5. The Platonic Universe

Bio: Dr. John Wu is an Associate Astronomer and the Applied AI Scientist at the Space Telescope Science Institute, and he holds visiting affiliations at the Johns Hopkins University Department of Physics & Astronomy and the Department of Computer Science. His research focuses on studying galaxies with multi-wavelength observations, machine learning, and interpretable artificial intelligence (AI) for scientific discovery. He was previously a postdoc at Johns Hopkins University, received his PhD in Physics from Rutgers University, and received a BSc in Physics from Carnegie Mellon University.