I am an Assistant Professor in Statistics at the University of Michigan, Ann Arbor.

I earned my PhD in Statistics from the 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:

  • Statistical foundations of causal inference: graphical models, partial identification, nonparametric and semiparametric methods;
  • Replicable data analysis: randomized procedures and derandomization, “hunt and test”, data splitting;
  • Honest & flexible uncertainty quantification: model selection, irregularity, finite sample inference.

My research is partially supported by an NSF DMS Grant.

PhD students: I am looking for students working with me on research. If you are a UMich PhD student or have just been admitted, feel free to reach out.