Daniel E. Ho is the William Benjamin Scott and Luna M. Scott Professor of Law at Stanford Law School, Professor of Political Science, Senior Fellow at the Stanford Institute for Economic Policy Research, Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence, and Director of the Regulation, Evaluation, and Governance Lab (RegLab).

Ho serves as an appointee to the National Artificial Intelligence Advisory Commission (NAIAC), advising the White House on artificial intelligence, and is a Public Member of the Administrative Conference of the United States (ACUS).

His scholarship centers on quantitative empirical legal studies, with a substantive focus on administrative law and regulatory policy, antidiscrimination law, and courts.  With the RegLab, his work has developed high-demonstration projects of data science in public policy, through partnerships with a range of government agencies, including the Internal Revenue Service, the Environmental Protection Agency, Santa Clara County Public Health, and Seattle and King County Public Health.

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.

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 a wide range of journals such as the Stanford Law Review, the Yale Law Journal, the N.Y.U. Law Review, PNAS, BMJ, Nature Medicine, JAMA Health Forum, the American Journal of Public Health, Nature Sustainability, the Journal of the American Statistical Association, the American Statistician, ACM FAccT, the Journal of Law, Economics, and Organization, the American Economic Journal: Economic Policy, the American Law and Economics Review, Quarterly Journal of Political Science, Political Analysis, the Journal of Legal Studies, and the Journal of Empirical Legal Studies.  He has also written for popular outlets, such as the New York Times, the Boston Review, and The Hill, and his work has been featured in many news outlets, including the New York Times, the Wall Street Journal, Forbes, Atlantic, Slate, and Scientific American.

Ho is the recipient of numerous awards, including the John Bingham Hurlbut Award for Excellence in Teaching at Stanford Law School (2010),  the Carole Hafner Award for the best paper at the International Conference on Artificial Intelligence and Law (2021), 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), as co-editor of the Journal of Law, Economics, and Organization (2013-16), and is on the Faculty Advisory Board for Stanford Impact Labs, the Board for the Society for Empirical Legal Studies (SELS), and the Faculty Advisory Council for Women in Data Science (WiDS).