Lily Hu

Lily Hu is an Assistant Professor of Philosophy at Yale University, specializing in causal theorizing and its applications to social sciences. Her research examines causal inference methodologies, particularly their treatment of social categories like race, and how these inform normative claims about discrimination and inequality. She also contributes to machine learning ethics, algorithmic fairness, and the intersection of technology with societal structures. Previously, she earned a Mathematics undergraduate degree and a doctorate in Philosophy from Harvard University (2022).

Her work bridges philosophy, social sciences, and computer science, addressing topics such as race perception in causal models, algorithmic bias mitigation, and the ethical integration of technology into education and governance. She has contributed to publications like the Boston Review, Los Angeles Review of Books, and Phenomenal World.

Lily’s research trends emphasize interdisciplinary methodological critique, with recent focus on causal frameworks in social sciences and algorithmic fairness debates. She critiques conventional statistical approaches to race and proposes normatively grounded alternatives. Her earlier work includes computational social choice and tech ethics curriculum design.

No specific advising or grant details are provided in the text, though her academic role implies ongoing research projects. She is affiliated with Yale’s Philosophy Department and maintains an active presence in interdisciplinary technology ethics discourse.