معرفی
Dr. Alexander M. Tahk is Associate Professor of Political Science at the University of Wisconsin–Madison, with additional affiliations as Faculty Affiliate at the University of Wisconsin Law School and Honorary Fellow at the Institute for Legal Studies. He serves as Director of the Tommy G. Thompson Center on Public Leadership and participates in various university committees including the Faculty Senate.
- Ph.D., Political Science, Stanford University (2010)
- M.S., Statistics, Stanford University (2006)
- S.B., Mathematics and Political Science, MIT (2002)
His research focuses on political methodology, statistical modeling of roll-call votes and judicial citations, and applications of machine learning to public health policy. Key contributions include developing the MONOCAR model for handling complex time-series data in political science, particularly polling and events data.
Selected scientific contributions include the
- 2002 MIT award for outstanding undergraduate political science thesis
He has advised numerous PhD students in political science including Sarah Bouchat, Marc Ratkovic, Chris Krewson, and Zachary Barnett-Howell, many of whom now hold positions at prestigious institutions like Princeton, Yale, and Pew Research Center.
Dr. Tahk created several R packages including
- npideal for nonparametric ideal-point estimation
- bucky for social science data analysis
- CARMAgeddon for continuous-time autoregression modeling
- pscl for Bayesian analysis of roll-call data
