Niloofar Mireshghallah is an Assistant Professor at Carnegie Mellon University, jointly appointed in the Language Technologies Institute (LTI) and the Department of Engineering & Public Policy (EPP), with a courtesy appointment in the Software and Societal Systems Department (S3D), and a core member of CyLab, where she leads the Looni Lab. She is also a Founding Member of Technical Staff at humans&, working on building AI systems that model the long-term social good of people. Previously, she was a Research Scientist in the Alignment group at Meta's Fundamental AI Research (FAIR) lab until November 2025, working on privacy-preserving AI systems and LLM safety. Before that, she was a post-doctoral scholar at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, advised by Yejin Choi and Yulia Tsvetkov. She received her Ph.D. in Computer Science from UC San Diego in 2023. Her research focuses on privacy-preserving AI systems, LLM policy and ethics, contextual integrity in AI, and AI for science and health. Niloofar's work has been recognized with the Delta Institute Scientific Fellowship (2026), an OpenAI Mental Health Research Grant (2026), the Anthropic AI for Science Program (2026), a Google TPU Research Cloud compute grant (2026), selection as a finalist for the Greenwall Foundation Faculty Scholars Program in Bioethics (2026), the Tinker and Modal Academic Research Compute Grants (2025), the NCWIT Collegiate Award (2020), finalist distinction in the Qualcomm Innovation Fellowship (2021), the Rising Star in Adversarial ML Award (2022), and selection for the Rising Stars in EECS workshop (2022).