about

I am an incoming post-doctoral researcher in Economics at Stanford University, where I will work with Arun Chandrasekhar. Beginning in September 2026, I will join Oregon State University as an Assistant Professor in Statistics.

I completed my PhD in Statistics at the University of Wisconsin-Madison, where I was co-advised by Keith Levin and Karl Rohe. I study spectral methods for network analysis, causal inference, and causal inference on networks. You might know me from my work on broom, a popular open-source R package in the tidyverse.

My curriculum vitae is available here. I also keep Google Scholar up to date.

Professional headshot of Alex

pre-prints

  1. Peer effects in the linear-in-means model may be inestimable even when identified. Alex Hayes and Keith Levin. arXiv. October 14, 2024.

publications

  1. Estimating network-mediated causal effects via principal components network regression. Alex Hayes, Mark M. Fredrickson, and Keith Levin. Journal of Machine Learning Research. 2025. replication package, code

  2. Co-factor analysis of citation networks. Alex Hayes and Karl Rohe. Journal of Computational and Graphical Statistics. 2024. post-print, arXiv, replication package, code

  3. Welcome to the tidyverse. Hadley Wickham, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, Alex Hayes, Lionel Henry, Jim Hester, Max Kuhn, Thomas Lin Pedersen, Evan Miller, Kirill Müller, David Robinson, Dana Paige Seidel, Vitalie Spinu, Kohske Takahashi, Davis Vaughan, Claus Wilke, Kara Woo, Hiroaki Yutani. Journal of Open Source Software. 2019. website

Material from my presentations is available on my talks page.

In a hobbyist capacity, I also blog about statistics, programming, and data. Some posts I’m particularly proud of:

These days I’m enjoying the slow resurgence of academic Twitter on Bluesky. You can find me there at @alexpghayes.com.