Niloofar Mireshghallah
Assistant Professor (Beginning Fall 2026), Engineering and Public Policy, Language Technologies Institute
Niloofar Mireshghallah is an incoming assistant professor with a joint appointment between Engineering and Public Policy and the Language Technology Institute at Carnegie Mellon University. Her research interests lie at the intersection of privacy, natural language processing, and the societal implications of machine learning, exploring the interplay between data, its influence on models, and the expectations of the people who regulate and use these models. Her work has been covered by The Washington Post and WIRED. She is a recipient of the NCWIT Collegiate Award (2020) and the Rising Star in Adversarial ML Award (2022), and a finalist of the Qualcomm Innovation Fellowship (2021).
Previously, Mireshghallah was a research scientist at FAIR (Meta) and a postdoctoral scholar at the Paul G. Allen Center for Computer Science & Engineering at University of Washington, advised by Yejin Choi and Yulia Tsvetkov. She received her Ph.D. from the Department of Computer Science and Engineering at University of California San Diego in 2023, advised by Taylor Berg-Kirkpatrick.