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!
December 2023: New preprint out titled "Restricted Regression in Networks" led by Dr. Ian Taylor (Statistics, Colorado State University).
November 2023: New preprint out titled "Hypothesis Generation For Rare and Undiagnosed Diseases Through Clustering and Classifying Time-Versioned Biological Ontologies" led by Michael Bradshaw (Comp Sci, CU Boulder)
October 2023: New paper out in Science Advances titled "Gender and retention patterns among U.S. faculty" led by Katie Spoon (Comp Sci, CU Boulder)