Saadia Gabriel

Saadia Gabriel is an Assistant Professor of Computer Science at the University of California, Los Angeles. Her research revolves around natural language processing and machine learning, with a particular focus on building systems for understanding how social common sense manifests in text (how do people typically behave in social scenarios?), as well as mitigating the spread of false or harmful text (e.g., COVID-19 misinformation). Her work has been covered by a wide range of media outlets, including Forbes and TechCrunch. Gabriel received a 2019 ACL nomination for best short paper, a 2019 RoboCup nomination for best paper from the International Conference on Intelligent Robots and Systems (IROS), a 2020 award for best paper at the West Coast NLP Summit, and a 2023 MIT Generative AI Impact award. In 2024, she was named to Forbes's 30 Under 30 list. Previously, she was a data science faculty fellow at New York University and a postdoctoral fellow at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL). She received her Ph.D. from the University of Washington.