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Michael Alvarez is the Flintridge Foundation Professor of Political Computational Social Science at California Institute of Technology (Caltech). He received his B.A. from Carleton College in 1986, followed by an M.A. from Duke University in 1990 and a Ph.D. in 1992. Alvarez's academic career began as an Assistant Professor at Caltech from 1992 to 1995, progressed to Associate Professor from 1995 to 2002, and he has been a Professor since 2002, with his current title being Flintridge Foundation Professor. His research predominantly focuses on public opinion, voting behavior, electoral politics, election technology administration, and political campaigns, with an emphasis on statistical computational modeling. He has a long-standing interest in empirically testing formal models related to elections and voting. His work has significant implications for understanding electoral dynamics, election security, and public opinion through various methodologies including machine learning and statistical analysis.
California Institute of Technology • Pasadena, CA, USA
Leading research in political computational social science.
California Institute of Technology • Pasadena, CA, USA
Conducting research and teaching in political science.
California Institute of Technology • Pasadena, CA, USA
Involved in teaching and research activities.
California Institute of Technology • Pasadena, CA, USA
Started academic career focusing on political science.
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