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Chad Hazlett is a Professor at UCLA Statistics & Data Science, specializing in causal inference, high-dimensional regression classification, and applications in political science. He is known for his contributions to statistical methods that impact political analysis and decision-making. Hazlett's work promotes the use of advanced statistical techniques to enhance understanding in the social sciences. He actively engages in research that bridges the gap between theoretical statistics and practical applications, applying his expertise to real-world issues in political science.
Department of Economics admits primarily for the PhD program.