Dr. Daniel E. Ho is the William Benjamin Scott and Luna M. Scott Professor of Law at Stanford Law School, Professor of Political Science, and Senior Fellow at the Stanford Institute for Economic Policy Research. He is also Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence and Director of the Regulation, Evaluation, and Governance Lab (RegLab). With the RegLab, he has engaged in questions surrounding device regulation, regulation of machine learning products, and health policy.
He is also a Faculty Fellow at the Center for Advanced Study in the Behavioral Sciences, Faculty Affiliate at the Woods Institute for the Environment, and Faculty Affiliate at the Wilson Sheehan Lab for Economic Opportunities.
Dr. Ho's scholarship centers on quantitative empirical legal studies, with a substantive focus on administrative law and regulatory policy, antidiscrimination law, and courts. He received his J.D. from Yale Law School and his Ph.D. in political science from Harvard University, and clerked for Judge Stephen F. Williams on the U.S. Court of Appeals, District of Columbia Circuit. His research has appeared in journals such as the Stanford Law Review, the Yale Law Journal, the N.Y.U. Law Review, the Journal of the American Statistical Association, the American Statistician, the Journal of Law, Economics, and Organization, the American Economic Journal: Economic Policy, Quarterly Journal of Political Science, Political Analysis, the Journal of Legal Studies, and the Journal of Empirical Legal Studies. He is the recipient of numerous awards, including the John Bingham Hurlbut Award for Excellence in Teaching at Stanford Law School (2010), the Warren Miller prize for the best paper published in Political Analysis (2008), and the Pi Sigma Alpha award for the best paper delivered at the Midwest Political Science Association meeting (2004). He served as President for the Society of Empirical Legal Studies (2011-12) and as co-editor of the Journal of Law, Economics, and Organization (2013-16).
