Bailey Fosdick is an Associate Professor in the Department of Biostatistics and Informatics in 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 biomedical sciences. Recently, her work has involved projects on SARS-CoV-2 and sports analytics.

Fosdick was faculty in the Department of Statistics at Colorado State University from 2014-2022. 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.


  • October 2022: Seminar presentation in Department of Biostatistics and Informatics at Colorado School of Public Health - "ECoHeN: A Hypothesis Testing Framework for Extracting Communities from Heterogeneous Networks".

  • October 2022: New paper "Optimizing prevalence estimates for a novel pathogen by reducing uncertainty in test characteristics" published in Epidemics!

  • July 2022: New paper "Model-based evaluation of policy impacts and the continued COVID-19 risk at long term care facilities" published in Infectious Disease Modelling!

  • May 2022: "Regression of exchangeable relational arrays" published in Biometrika!