
Alex Hayes
Alex Hayes
I am an Assistant Professor in the Department of Statistics & Data Science at Oregon State University. My work thus far focuses on network analysis, causal inference, and peer effects, which I mostly study using tools from multivariate statistics. Previously, I was a Postdoctoral Scholar at Stanford University in the Economics Department, where I worked with Arun Chandrasekhar on econometric methods for development economics. I completed my PhD in Statistics at the University of Wisconsin-Madison, where I was co-advised by Keith Levin and Karl Rohe. During my PhD I spent some time working on broom, a popular open-source R package in the tidyverse, and I interned at Posit (formerly RStudio) and Facebook. Before grad school, I studied statistics at Rice University.
Research Interests:
- Statistical models of networks
- Causal inference
- Multivariate analysis
- Applications in social science
Publications
- Estimating network-mediated causal effects via principal components network regression. Alex Hayes, Mark M. Fredrickson, and Keith Levin. Journal of Machine Learning Research. 2025.
- Co-factor analysis of citation networks. Alex Hayes and Karl Rohe. Journal of Computational and Graphical Statistics. 2024.
- 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.