Shane Lubold






I am a Research Mathematical Statistician in the Center for Statistical Research and Methodology at the U.S. Census Bureau.

I recieved my PhD in statistics from the University of Washington in June 2023. I was advised by Arun Chandrasekhar at Stanford University and Tyler McCormick at UW. Previously I was a Fulbright Scholar at the University of Luxembourg and before that I received my BS in math from Arizona State University. At UW, I was supported by an ARCS fellowship.

I use tools from statistical inference and machine learning to answer questions in causal inference, network analysis, and survey design. A large part of my research focuses on making large-scale surveys more accessible to researchers by making them cheaper, more accurate, and easier to run. I work on model selection for network data and learning geometric properties of data to improve down-stream tasks in inference and machine learning. I develop user-friendly software that allows researchers to better understand their data.

A description of some of my work with Tyler McCormick recently appeared in the Wall Street Journal!

Email / CV / Google Scholar / GitHub