Niloofar Mireshghallah is a Research Scientist at Meta AI’s FAIR Alignment group in San Francisco. Beginning Fall 2026, she will join Carnegie Mellon University’s Engineering & Public Policy (EPP) Department and Language Technologies Institute (LTI) as an Assistant Professor.

Niloofar's research interests are privacy, natural language processing, and the societal implications of ML. She explores the interplay between data, its influence on models, and the expectations of the people who regulate and use these models. Her work has been recognized by the NCWIT Collegiate Award and the Rising Star in Adversarial ML Award. Previously, Niloofar was a postdoctoral scholar at University of Washington, advised by Yejin Choi and Yulia Tsvetkov. I received my PhD from UC San Diego, advised by Taylor Berg-Kirkpatrick, and during that time I was also a part-time researcher / intern at Microsoft Research—working with the Privacy in AI, Algorithms, and Semantic Machines teams on differential privacy, model compression, and data synthesis.