Le Bao (Chinese: 宝乐)

I am a Postdoc Fellow at the Massive Data Institute (MDI) of McCourt School of Public Policy, Georgetown University. I received my Ph.D. from the Department of Government at American University in 2022. I was also previously a Visiting Graduate Fellow at the Institute for Quantitative Social Science, Harvard University.

My broad research interests are in the fields of political methodology, political behavior, and environmental politics. Methodologically, I’m interested in Bayesian and nonparametric statistics, spatial statistics, survey methodology, and measurement. I’m also interested in integrating the aforementioned methods with other causal inference and computational methods. Additionally, as a data scientist, I am interested in statistical simulations, container computing, and reproducible research. My substantive interests include how contextual, institutional, and structural factors impact political behavior and environmental outcomes.

At MDI, I am currently working with the MOSAIC (Measuring Online Social Attitudes and Information Collaborative) and EIDC (Environmental Impact Data Collaborative) teams.


recent publications

  1. Book
    Bayesian Social Science Statistics from the Very Beginning
    Jeff Gill, and Le Bao
    Cambridge University Press, May 2024