Skyler Hallinan is a Ph.D. student in Computer Science at the University of Southern California where he is advised by Xiang Ren. His research aims to build trustworthy AI systems with robust reasoning capabilities via data-centric approaches. His work spans three core areas: understanding how data impacts downstream model behavior, safeguarding user data and privacy, and advancing model capabilities with better data. Previously, he was a research intern at Apple and Amazon, and received a B.S./M.S. in Computer Science from the University of Washington, where he was advised by Yejin Choi.