Ann Zabludoff
Ann Zabludoff's research ranges widely over astronomy and astrophysics. She has studied the formation and evolution of galaxies and large-scale structure, the impacts of "compound" gravitational lens systems, connections between astrophysical transients and their host galaxies, the disruptive effects of supermassive black holes on stars, new methods for directly imaging exoplanets, and the nature of dark matter. Her work includes analyses of large observational datasets and theoretical cosmological simulations, as well as the adaptation of astronomical instruments for new science. She co-founded Rubin Observatory's Catalyst Postdoctoral Fellowship program and is U.S. Participating Scientist on the Ultraviolet Transient Astronomy Satellite (ULTRASAT) science team.
She currently serves on the Steering Committee for Data Science, Machine Learning, and AI of the University of Arizona (UA) College of Science and co-leads the Computation and Data Initiative of the UA Theoretical Astrophysics Program. She heads an interdisciplinary team of academic and industry partners exploring astrophysical problems with AI, with a particular focus on improving literature search, synthesis, and visualization as a means for new hypothesis generation.
