**Richard Guo**

#### Statistical Laboratory, DPMMS, University of Cambridge.

I am a Research Associate at the Statistical Laboratory of University of Cambridge, mentored by Prof. Rajen Shah.

I recently completed my PhD in Statistics from University of Washington, Seattle. I work on problems related to causal inference. My PhD advisor is Thomas S. Richardson. My doctoral thesis is on *Likelihood analysis of causal models*.

I am interested in addressing various statistical challenges posed by causal inference, such as inference under non-standard asymptotics, finite sample, irregularity, and partial identifiability. Recently, I have been working on the efficiency theory of causal graphical models. I am also interested in approaches that enhance efficiency and interpretability, such as Bayes and empirical Bayes.

Previously, I studied computer science at Duke and MIT.

## news

Sep 30, 2021 | I will be the Richard M. Karp Research Fellow for the Causality program at the Simons Institute Janâ€“May, 2022. |

Sep 10, 2021 | Started as a Research Associate in Cambridge, UK. |

Apr 30, 2021 | Defended my PhD in statistics! |

Feb 17, 2021 | Package multChernoff computes finite-sample tail bounds of multinomial LRT. |

Dec 3, 2020 | Package InvariantCausal.jl upgraded to Julia 1.x. |