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Lily Hu is a PhD candidate in Applied Mathematics, working in the Computer Science department at Harvard University where she studies algorithmic fairness and philosophy of artificial intelligence and machine learning. Broadly, her academic interests include algorithmic game theory, machine learning in social and economic environments, distributive justice, philosophy of 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 as well as the relationship between technical conceptions of fairness in algorithm design and various philosophical notions of justice.
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.