Bailey Fosdick is an Associate Professor in the Department of Statistics at Colorado State University. Her research focuses on developing statistical methods to analyze multivariate data, specifically network, array and survey data, and often focuses on applications in the social, biological and more recently, the biomedical sciences. Recently, her work has involved projects on SARS-CoV-2 and sports analytics.

Prior to joining the faculty at Colorado State University, Fosdick was a postdoctoral fellow at the Statistical and Applied Mathematical Sciences Institute and earned her Ph.D. from the Department of Statistics at the University of Washington.


  • May 2021: New paper "Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel" to appear in AOAS.

  • May 2021: New paper “Inference for network regression models with community structure” accepted to ICML 2021.

  • May 2021: New paper "Association between COVID-19 exposure and self-reported compliance with public health guidelines among essential employees at an institute of higher education" to appear in JAMA Network Open.

  • April 2021: Colloquium at University of Iowa Department of Statistics and Actuarial Science.