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Lily Hu is a PhD candidate in Applied Mathematics at Harvard University and a Fellow at the Berkman Klein Center for Internet and Society, where she studies algorithmic fairness and philosophy of artificial intelligence and machine learning. Broadly, her academic interests include machine learning in social and economic environments, distributive justice, philosophy of science and social science, and thinking beyond utilitarianism. Her current time is divided between computer science-related research, where she studies machine learning in social settings, and philosophy work, where she considers the epistemological underpinnings of machine learning and the normative force of predictions issued by computational tools.
Lily received an A.B. in Mathematics from Harvard College in 2015 and spent a year teaching English and Spanish history in Madrid on a Fulbright Fellowship. Her current work is supported by an NSF Graduate Research Fellowship.