Xiao Wu

PhD Candidate

Harvard University


Xiao Wu is a Ph.D. candidate 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 the environmental health and public policy analysis of health claims databases. His dissertation work focuses on developing robust and interpretable causal inference methods to handle continuous and error-prone exposures. He is also working on collaborative projects to design Bayesian clinical trials and real-world evidence studies.


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


  • Ph.D. in Biostatistics, 2021 (Expected)

    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


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 2019 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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