معرفی
Lydia T. Liu is an Assistant Professor in the Department of Computer Science at Princeton University, with affiliations to the Center for Information Technology Policy and the Center for Statistics and Machine Learning. Her research bridges theoretical foundations of machine learning with societal impact, focusing on fairness, welfare outcomes, and policy implications in algorithmic decision-making.
Education:
- Ph.D. in Electrical Engineering and Computer Sciences, University of California, Berkeley (2022)
- B.S.E. in Operations Research and Financial Engineering, Princeton University (2017)
Liu’s work examines the intersection of machine learning and societal systems, including fairness evaluation, ethical deployment, and interventionist paradigms. She explores how predictive models operationalize policy changes and shape long-term outcomes, emphasizing human decision-makers and organizational constraints.
Her recent research trends include:
- 2025 publications on coreset selection, interventionist AI, and multilingual language model evaluation
- 2024 studies on ride-sharing fairness, outcome prediction actionability, and workshop proceedings on bridging prediction and intervention
- 2023 PNAS paper reimagining ML for education equity
Scientific Awards:
- Microsoft Ada Lovelace Fellowship
- Open Philanthropy AI Fellowship
- Amazon Research Award
- ICML Best Paper Award (2018, 2024)
- NeurIPS Joint Workshop Best Paper Award
- NUS Development Grant
Liu advises PhD student Kara Schechtman and has led Princeton’s graduate course on “AI, Society, and Education,” with project groups presenting at AAAI 2025. She co-organized the 2024 BIRS workshop on prediction-intervention bridging and serves as ethics chair for ICML 2025.
Her labs and workshops focus on interdisciplinary collaboration, including the Artificial Intelligence, Policy, and Practice (AIPP) initiative at Cornell and the Simons Institute’s 2026 Bridging Prediction and Intervention Problems in Social Systems workshop.
