Liwei Jiang is a final-year Ph.D. candidate in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, advised by Prof. Yejin Choi. She was previously a graduate student researcher at NVIDIA and the Allen Institute for Artificial Intelligence (Ai2). Her research focuses on humanistic, pluralistic, and coevolutionary AI safety and alignment, where she spearheads research on moral and pluralistic value reasoning in language models and develops data-, algorithm-, and system-level solutions to socio-technical challenges in AI safety, security, and large language model alignment. Her work has received Best Paper Awards at NeurIPS 2025, NAACL 2022, and CHI 2024, as well as Outstanding Paper Awards at EMNLP 2023 and the AIA Workshop at COLM 2025, and has been featured in The New York Times, Nature Outlook, IEEE Spectrum, Wired, and other major media. She co-organizes workshops including MP2 (NeurIPS 2023) and SoLaR (NeurIPS 2024; COLM 2025), and co-leads the Guardrails and Security for LLMs tutorial at ACL 2025.