Assistant Professor of Law
- PhD, University of California, Berkeley
- JD, Yale Law School
- BA, Pomona College
Professional Experience
Professor Lu studies the use of algorithms and statistics in legal decision-making and analysis. He served as a law clerk to the Honorable Daniel P. Collins of the U.S. Court of Appeals for the Ninth Circuit in Pasadena, California. He has held research positions at the Stanford Law School RegLab, the American Bar Foundation, and Harvard Law School.
Professor Lu's scholarship has been published or is forthcoming in several publications including the Journal of Law, Medicine & Ethics; the Journal of Machine Learning Research; the Journal of Educational & Behavioral Statistics; and the NBER Conference on Research in Income and Wealth. His work has also been featured in the ABA Journal, Law360, The Recorder, and Reuters.
Honors and Affiliations
Professor Lu holds a PhD in statistics from the University of California, Berkeley and a JD from Yale Law School. At Yale, he was lead editor of the Yale Journal on Regulation, a fellow at the Solomon Center for Health Law and Policy, and the academics chair for the Asian Pacific American Law Students Association. He earned a BA, magna cum laude, in mathematics and philosophy from Pomona College.
Scholarly Work
- Is It Who You Are or Where You Are? Accounting for Compositional Differences in Cross-Site Treatment Effect Variation, 48 Journal of Educational and Behavioral Statistics 420 (2023) (with Ben-Michael, Feller & Miratrix)
- The Association Between Civil Legal Needs After Incarceration, Psychosocial Stress, and Cardiovascular Disease Risk Factors, 51 Journal of Law, Medicine and Ethics 856 (2023) (with Thomas, Feder, Bhandary-Alexander, Aminawung & Puglisi)
- A Unified Framework for Random Forest Prediction Error Estimation, 48 Journal of Machine Learning Research 1 (2021) (with Hardin)