Shane Lubold






I am a PhD candidate in the statistics department at the University of Washington. I am advised by Tyler McCormick and Arun Chandrasekhar. Previously I was a Fulbright Scholar at the University of Luxembourg and before that I received my BS in math from Arizona State University. I am 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.

I am on the job market! Please feel free to email to get in touch.

Email / CV / Google Scholar / GitHub