This project explores the convergence of multimessenger astronomy and frontier AI. Next-generation observatories will transform rare cosmic events into large, heterogeneous data streams spanning gravitational waves, electromagnetic radiation, neutrinos and cosmic rays. These datasets are scientifically rich because they are governed by known physical laws, tested across independent messengers and shaped by well-characterized instrumental effects.
The central idea is two-way: AI can help multimessenger astronomy coordinate observations, accelerate inference, classify sources and identify anomalies, while multimessenger astronomy can provide a rigorous testbed for AI systems that must reason with physical constraints, calibrated uncertainty and simulation-to-observation mismatch.
Related papers:
Dr. Chayan Chatterjee
AI for New Messengers Postdoctoral Fellow
Dr. Chayan Chatterjee is the A.I. for New Messengers Postdoctoral Fellow at Vanderbilt University. His research focuses on applying machine learning, frontier AI and interpretable inference to gravitational waves and multimessenger astronomy.
