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 collaborative projects on SARS-CoV-2, trauma care in international settings, and women's health research. She is also the Director for the MPH - Applied Biostatistics program.
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.
News!
August 2023: Sierra Pugh giving talk at JSM 2023 on Modeling COVID-19 Infection Fatality Rates in Developing Countries
August 2023: Rocky Mountain COVID Data platform launched to monitor COVID-19 in the Rocky Mountain region
August 2023: New preprint on Gender and retention patterns among U.S. faculty led by Katie Spoon (Comp Sci, CU Boulder)
August 2023: New preprint on Fréchet Covariance and MANOVA Tests for Objects in Multiple Metric Spaces, led by Alex Fout
July 2023: New paper on Regression of binary network data with exchangeable latent errors published in Network Science, led by Frank Marrs