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Gabriel Lopez-Moctezuma is an Assistant Professor in the field of Political Science at the California Institute of Technology. His research focuses on analyzing collective decision-making within committees and elections, employing quantitative methods, structural estimation, causal inference, and text analysis. He studies the effects of sequential decision-making bodies such as the Federal Open Market Committee and the U.S. Supreme Court. His research interests also encompass electoral competition and voting behavior in the United States, Mexico, and the Philippines. Lopez-Moctezuma joined Caltech in 2017, contributing to the university's strengths in political economy and political science. Previously, he has held academic positions and has been actively involved in research and publication in his field. His academic journey includes earning a B.A. from the Instituto Tecnológico Autónomo de México in 2007, an M.A. from Princeton University in 2012, and a Ph.D. in 2016.
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