**Richard Guo**

#### Department of Statistics. University of Washington, Seattle.

I am a PhD candidate in statistics. I work on problems related to causal inference. My advisor is Thomas Richardson.

I am generally interested in addressing the statistical challenges posed by causal inference, such as conducting valid inference under non-standard asymptotics, irregularity, weak signal, or even partial identifiability. I am also interested in approaches that enhance efficiency and interpretability, such as empirical Bayes.

Previously, I studied computer science at Duke and MIT.

## news

Aug 4, 2020 | Non-nested (causal) model selection paper appears on Biometrika. |

Jul 5, 2020 | Teaching undergraduate probability I and II this summer. |

May 15, 2020 | Presenting my work with Ema at the UW statistics seminar. |

May 6, 2020 | Presenting the spectral empirical Bayes work at the CSSS. |

Mar 19, 2020 | New preprint on multinomial concentration. |