Niloofar Mireshghallah

Assistant Professor, Engineering and Public Policy

Bio

Niloofar Mireshghallah is an incoming assistant professor with a joint appointment between Engineering and Public Policy and the Language Technologies 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 and Engineering at the University of Washington, advised by Yejin Choi and Yulia Tsvetkov. She received her Ph.D. from the Department of Computer Science and Engineering at the University of California San Diego in 2023, advised by Taylor Berg-Kirkpatrick.