Bailey Fosdick is an Associate Professor in the Department of Statistics at Colorado State University and an Adjunct Associate Professor in the Department of Biostatistics and Informatics at the Colorado School of Public Health. 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.

News!

  • July 2021: Appointed as an Adjunct Associate Professor in the Department of Biostatistics and Informatics at the Colorado School of Public Health.

  • June 2021: New paper "Durable antibody responses in staff at two long-term care facilities, during and post SARS-CoV-2 outbreaks" accepted to Microbiology Spectrum.

  • 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.