Richard is an Assistant Professor in Biostatistics at the University of Washington, Seattle.
Previously, Guo was a Research Associate at the Statistical Laboratory of University of Cambridge and a Richard M. Karp research fellow at the Simons Institute. Prior to that, Guo earned my PhD in Statistics in Seattle.
Topics of interest include:
- 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.
Richard is an Assistant Professor in Biostatistics at the University of Washington, Seattle.
Previously, Guo was a Research Associate at the Statistical Laboratory of University of Cambridge and a Richard M. Karp research fellow at the Simons Institute. Prior to that, Guo earned my PhD in Statistics in Seattle.
Topics of interest include:
- 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.