Stanford University
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Avidit Acharya
Professor of Political Science, by courtesy, of Political Economics at the Graduate School of Business and Senior Fellow at the Hoover Institution
BioAvi Acharya is a professor of political science at Stanford University; a professor, by courtesy, of political economy at the Stanford Graduate School of Business; and senior fellow, by courtesy, at the Hoover Institution. He works in the fields of political economy and formal political theory.
His first book, Deep Roots: How Slavery Still Shapes Southern Politics (Princeton University Press, 2018) explores the lasting impact of slavery as an institution on political attitudes in the American South. His second book, The Cartel System of States: An Economic Theory of International Politics (Oxford University Press, 2023), provides a new understanding of the territorial state system as it developed through time and exists today.
His papers have been published in both economics and political science journals and have received awards such as the Elinor Ostrom best paper award, the Gosnell Prize in political methodology, and the Joseph Bernd best paper award. He is an editor at the journal Social Choice and Welfare and an advisory editor at Games and Economic Behavior.
He earned a PhD in political economy from Princeton University in 2012 and a BA in economics and mathematics from Yale University in 2006. Before joining the Stanford faculty, he taught in the economics and political science departments of the University of Rochester. -
Sara Achour
Assistant Professor of Computer Science and of Electrical Engineering
Current Research and Scholarly InterestsI am an Assistant Professor jointly appointed to both the Computer Science and the Electrical Engineering Departments at Stanford University. My research focuses on new techniques and tools, specifically new programming languages, compilers, and runtime systems, that enable end-users to more easily develop computations that exploit the potential of emerging computing platforms that exhibit analog behaviors.
