Niloofar Mireshghallah is an incoming assistant professor at CMU with a joint appointment between EPP & LTI. Previously, she 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 CSE department of UC San Diego in 2023, advised by Taylor Berg-Kirkpatrick. 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, and she is a recipient of the NCWIT Collegiate Award (2020), a finalist of the Qualcomm Innovation Fellowship (2021), and a recipient of the Rising Star in Adversarial ML Award (2022).