Richard Guo
269 West Hall, LSA Statistics, University of Michigan

I am an Assistant Professor in Statistics at the University of Michigan, Ann Arbor.
I earned my PhD in Statistics from University of Washington, Seattle. I was a Research Associate at the Statistical Laboratory of University of Cambridge and a Richard M. Karp research fellow at the Simons Institute. I also briefly served on the Biostatistics faculty of UW.
Below are a few research topics:
- Replicable data analysis: randomized procedures and derandomization, “hunt and test”, data splitting;
- Statistical foundations of causal inference: graphical models, nonparametric and semiparametric methods;
- Honest & flexible uncertainty quantification: model selection, irregularity, finite sample guarantees, empirical Bayes.
My research is partially supported by an NSF DMS Grant.
news
Jul 25, 2025 | I am elected a member of the International Statistical Institute (ISI). |
Jul 14, 2025 | My research on “hunt and test” and data splitting won support from NSF. |
Sep 18, 2024 | Paper on multiple data splitting is published on JRSS-B; see also MultiSplit. |
Jan 24, 2024 | Major update to paper on inference for multiple data splitting that highlights the power gain through rank transform. |
Oct 31, 2023 | Presenting an interactive procedure for confounder selection at OCIS. |