Beyond fully supervised learning, I work on self- and semi-supervised learning with unlabeled data to take full advantage of large astronomical datasets (such as with Roman and Rubin). I am also interested in how foundation models (trained on terrestrial or extraterrestrial images) can be used in astronomy. A key ingredient to studying cosmology and galaxy evolution is knowing distances to galaxies, which is the primary focus of my research.