Qingyuan Lin

Qingyuan Lin is a computer science researcher and PhD candidate at the University of Washington, specializing in machine learning and natural language processing. His work focuses on large language models, reasoning capabilities, and AI safety. Lin has contributed to research on model interpretability and alignment, publishing papers at leading AI conferences including NeurIPS and ICML.