Ann Zabludoff's research is broadly distributed across extragalactic astronomy and cosmology. She has explored how galaxies change over time, the General Relativistic bending of light in "gravitational lenses," the disruptive effects of supermassive black holes, a new method for directly imaging exoplanets, and the nature of dark matter. Her work includes analyses of large observational databases and theoretical simulations, as well as the adaptation of astronomical instruments for new science. Her current interests include understanding the evolution of the baryonic components of galaxies and galaxy clusters, identifying, classifying, and following up astrophysical transients, probing the connections between transients and their host galaxies, and applications of machine learning and AI to scientific problems. She leads the HotShots citizen science project to detect the sources of gravitational waves and co-leads an effort to employ data science to realize the full potential of the Legacy Survey of Space and Time (LSST LINCC). She also co-leads the Computation and Data Initiative of UA’s Theoretical Astrophysics Program. In 2023, she joined the Ultraviolet Transient Astronomy Satellite (ULTRASAT) science team as U.S. Participating Scientist.