Hyunseung Kang is an associate professor in the Department of Statistics. Broadly speaking, his research is focused on analyzing causal relationships in large datasets by using instrumental variables, econometrics, semi/nonparametric methods, network analysis and machine learning. He is also interested in applications to genetics, epidemiology, infectious diseases, health policy, education and applied microeconomics. Professor Kang received his Ph.D. in Statistics from the University of Pennsylvania in 2015. He joined UW–Madison in 2017 after completing his National Science Foundation postdoctoral training in Economics from the Stanford Graduate School of Business.
A word from Dean Eric M. Wilcots:
Professor Kang has had an outstanding record of scholarship in the area of causal inference. He has made major contributions in the three areas of instrumental variables, Mendelian randomization and causal effect estimation for complex data.