Anjalie Field is an assistant professor of computer science and a member of the Center for Language and Speech Processing whose primary research interests include using natural language processing to model social science concepts. Her current work is focused on identifying social biases in various domains, including Wikipedia, social media, and social workers’ notes.
She completed her PhD at the Language Technologies Institute at Carnegie Mellon University, where she was advised by Yulia Tsvetkov and was a member of TsvetShop. Prior to joining Johns Hopkins, she was a postdoctoral researcher in the Stanford NLP Group and at the Stanford Data Science Institute. She also was a visiting student at the University of Washington from 2021 to 2022.
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Winning projects, chosen from a record 286 proposals, include 148 individuals from across the university.
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The Nexus Awards Program supports a diverse range of programming, research, and teaching at the university’s Bloomberg Center at 555 Pennsylvania Ave.
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Algorithms for a fairer world
CategoriesMachine learning technologies hold the potential to revolutionize decision-making. But how can we ensure AI systems are free of bias? Our experts weigh in.