Johann D. Gaebler

Johann D. Gaebler’s research develops and applies data science and statistical tools to complex social problems, such as mass incarceration, hiring discrimination, and other issues at the intersection of statistics, computer science, and policy. His work focuses on the measurement of discrimination, computational social science, and algorithmic fairness, as well as causal inference, machine learning, Bayesian statistics, statistical computing.