Richard Hahn

Richard Hahn is an Associate Professor of Statistics at Arizona State University's School of Mathematical and Statistical Sciences. He joined ASU from the University of Chicago Booth School of Business. His research focuses on causal inference using regression tree models, Bayesian statistics, and quantitative social science. He teaches courses in Bayesian Statistics and Causal Inference, and advises PhD students in statistics and data science.

Education:

• Ph.D., Statistical Science, Duke University, 2011
• M.Sc., Mathematics, New Mexico Institute of Mining and Technology, 2007
• B.A., Economics-Philosophy of Science, Columbia University, 2005

Research Interests:

His work includes causal inference, computational statistics, nonlinear regression, Bayesian foundations, and applications in social sciences. Notable contributions include stochastic tree ensembles for heterogeneous treatment effects and Bayesian methods for survival analysis.

Teaching:

• STP 505 Bayesian Statistics
• STP 598 Causal Inference
• Advanced graduate-level courses in statistics

Advising:

Current PhD students: Palak Jain, Nikolay Krantsevich, Xiangwei Peng, Maggie Wang, Judy Yun. Past students include Jingyu He, Drew Herren, and Chelsea Krantsevich.

Professional Activities:

Active in academic conferences, including the Atlantic Causal Inference Conference. Editor of 'Bayesian Modeling and Computation in Python' (2023). Collaborates on interdisciplinary projects like the national growth mindset experiment in education.