Lydia Liu

Lydia Liu is an Assistant Professor in the Department of Computer Science at Princeton University. She joined the university in 2024 after serving as a postdoctoral associate at Cornell University Computer Science in the Artificial Intelligence, Policy, and Practice (AIPP) initiative. Her research focuses on the theoretical foundations of machine learning and algorithmic decision-making, with an emphasis on societal impact and welfare. Liu holds a Ph.D. in Electrical Engineering and Computer Sciences from the University of California, Berkeley, and a B.S.E. in Operations Research and Financial Engineering from Princeton University.

Lydia T. Liu is an Assistant Professor of Computer Science at Princeton University, specializing in Machine Learning, Statistics, Decision Making, and Algorithmic Fairness. Her research explores the intersection of fairness, decision-making, and algorithmic systems, with a focus on mitigating bias in machine learning and understanding the societal impact of algorithmic decisions. She investigates fairness in black-box algorithmic markets, the disparate equilibria of algorithmic decision making, and the delayed impact of fair machine learning. Her work also addresses the challenges of fairness in decentralized matching markets and the evaluation of fairness in real-world applications such as ride-sharing. Liu's research emphasizes the importance of actionable fairness and the integration of fairness into the machine learning life cycle.