My research interests lie in big data statistical techniques and machine learning tools useful for social scientists, from predicting conflict with real and complex data to designing statistics for better prediction. My research agenda in political methodology includes considering in what ways predictivity and statistical significance are and are not related as well as designing statistics that help measure predictivity. I received my Ph.D in Political Science from the University of California, San Diego, my M.A. in Politics from New York University, and my B.A. in Economics and Political Science from Columbia University.
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