Xiao Wu

PhD Researcher

Harvard University


Xiao Wu is a Ph.D. researcher in the Department of Biostatistics at Harvard University, where he is advised by Dr. Francesca Dominici and Dr. Danielle Braun. His research interests lie in developing causal inference methods to address methodological needs in environmental health and public policy evaluation using large-scale healthcare databases. His dissertation work focuses on developing robust and interpretable causal inference methods to handle error-prone, continuous, and time-series exposures. He is also working on collaborative projects to design Bayesian clinical trials, meta-analysis, and real-world evidence studies.

His research has been published in prestigious scientific venues such as Science Advances, the Lancet Planetary Health, and the Annals of Applied Statistics, and it has attracted the attention of international journalism, including at the New York Times, the Guardian, National Geographic, USA Today, and Scientific American among others.


  • Causal Inference
  • Nonparametric Statistics
  • Measurement Error
  • Bayesian Biostatistics
  • Environmental Epidemiology


  • Ph.D. in Biostatistics, 2021

    Harvard University

  • M.S. in Biostatistics, 2017

    Harvard T.H. Chan School of Public Health

  • LL.B. in Laws, B.S. in Mathematics, 2015

    Peking University


Barry R. and Irene Tilenius Bloom Fellowship

2020 ISEE Annual Conference Travel Award

2020 ASA Biopharmaceutical Section Scholarship Award

2020 IMS Hannan Graduate Student Travel Award

Summer Institute in Statistics for Big Data Scholarship

1st Prize of the National Mathematics Contest



Research Scientist Intern

Facebook Inc

Jun 2020 – Aug 2020 Menlo Park, CA

Data Scientist Intern

Google LLC

May 2019 – Aug 2019 Sunnyvale, CA

Biostatistician Intern

Sanofi Genzyme

Feb 2019 – Apr 2019 Cambridge, MA

Biostatistician Intern

Sanofi Genzyme

Jun 2017 – Aug 2017 Cambridge, MA

Research Associate

Harvard Business School

Jul 2016 – Mar 2017 Boston, MA


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