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Hyunseung Kang is an Associate Professor in the Department of Statistics at the University of Wisconsin-Madison. He has a strong academic background with a Ph.D. in Statistics from the Wharton School of the University of Pennsylvania and has completed a postdoctoral fellowship at Stanford University. His research primarily focuses on causal inference methods, with specific interests in unmeasured confounding, instrumental variables, semi/nonparametric inference, and dependence. Kang is also engaged in various applications of his work across domains such as genetics, epidemiology, education, political science, and applied microeconomics. He has published extensively in renowned journals and is currently serving as an Associate Editor for Biometrics and the Journal of the American Statistical Association. Kang's research has been supported by funding from the National Science Foundation, the National Institutes of Health, and other institutions. He has taught multiple courses related to causal inference and continues to advise Ph.D. students, fostering their learning and development in the field.
University of Wisconsin-Madison • Madison, WI
Teaching and conducting research in the field of Statistics, with a focus on causal inference.
Department: Department of Computer Sciences