Liam Connor

Liam Connor is an Assistant Professor of Astronomy at Harvard University, affiliated with the Center for Astrophysics | Harvard & Smithsonian. His research focuses on Fast Radio Bursts (FRBs), leveraging AI and computer vision to advance observational cosmology and radio telescope instrumentation. He leads projects like the Deep Synoptic Array (DSA-2000) to map the GHz sky and study galactic halos via FRB dispersion measures.

Education details are not explicitly provided, but his work integrates advanced computational methods with astrophysical phenomena. Key research areas include FRB origins, cosmic web structure, and the application of neural networks for 3D reconstruction.

Recent articles highlight discoveries of galactic halos via FRBs, correlations between FRB dispersion measures and large-scale structure, and polarization studies of localized bursts. His work often emphasizes instrumentation innovations like the DSA-2000 and kotekan data pipelines.

Liam collaborates on projects such as the Canadian-Chilean Array for Radio Transient Studies (CHARTS) and has contributed to the Apertif Radio Transient System (ARTS). His lab focuses on developing next-generation radio arrays and AI-driven analysis tools for transient astronomy.