Mirac Suzgun is a second-year Ph.D. student in Computer Science at Stanford, advised by Dan Jurafsky. He is also pursuing a Ph.D. Minor in Philosophy, Language, and the Arts, particularly interested in understanding the theories around narrative ethics and personal identity. As part of his doctoral studies, he has been studying the limitations and capabilities of large language models and exploring more efficient and interpretable methods to perform natural-language generation. He previously completed his undergraduate education at Harvard College, pursuing a joint degree in Mathematics and Computer Science and a secondary in Folklore & Mythology. His current work at RegLab aims to use machine learning tools to identify racially restrictive covenants in property deeds.