AstroAI Workshop 2025

2025 program directory

Meet the voices that shaped the workshop

Explore the keynote perspectives, hands-on tutorials, and focused research talks from five days of shared learning at the intersection of AI and astrophysics.

6: Keynotes
3: Tutorials
5: Spotlights

Big-picture perspectives

Keynote speakers

6 sessions

Keynote Ashley Villar Harvard University The Trouble with Time Series Keynote Bill Freeman Massachusetts Institute of Technology Exploiting the independence of the image from the sensor Keynote David Alvarez-Melis Harvard University Data First: How Composition, Labels, and Adaptation Shape Model Behavio Keynote Elisabeth Sylvan Brown University, Rhode Island School of Design, Technical University of Munich Responsible AI in Research Keynote Marc Huertas-Company Instituto de Astrofísica de Canarias, University of Paris Representation learning and simulation based inference for astrophysics (galaxy formation) Keynote Viviana Acquaviva CUNY NYC College of Technology, Columbia University Interpretability tools in scientific Machine Learning

Learn by doing

Tutorial leaders

3 sessions

Tutorial Ashley Villar Harvard University Simulation-based Inference with Astrophysical Data Tutorial Core Park Harvard University Exploring Compositional Generalization of Neural Networks through Synthetic Experiments Tutorial Philipp Frank Stanford University Probabilistic Inference in Astrophysics: Variational, Flow-Based, and Diffusion Models

Focused ideas

Spotlight speakers

5 sessions

Spotlight Alan Hsu Harvard University Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling Spotlight Daniel Muthukrishna MIT, AstroAI Causally Motivated Foundation Models: Disentangling Physics from Systematics Spotlight Kaylee De Soto Harvard University TBA Spotlight Matthew O'Callaghan University of Cambridge Robust Simulation-Based Inference: Bridging the Gap Between Simulation and Observation. Spotlight Nayantara Mudur Harvard University Probing Generative Models for Inference in Cosmology