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Daniel E. Ho is a Professor of Law at Stanford University and a Professor of Political Science by courtesy. He serves as a Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and the Stanford Institute for Economic Policy Research (SIEPR). Additionally, he is the Director of the Regulation, Evaluation, Governance Lab (RegLab). His interdisciplinary research focuses on issues related to law, public policy, and regulation, employing a data-driven approach to analyze and improve governance structures. Ho is dedicated to leveraging artificial intelligence to enhance policy evaluation and regulatory practices. His work has made significant contributions to understanding the intersection of technology and law, as well as the implications of policy choices on economic outcomes. He is recognized as an influential scholar in his field, with numerous publications addressing the complexities of governance in a rapidly changing technological landscape.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.