Bailey Fosdick joined GTI Energy as an Institute Data Scientist in February 2024 and continues to serve as an Adjoint Associate Professor in the Department of Biostatistics and Informatics in the Colorado School of Public Health, where she was faculty prior. Her academic research focused on developing statistical methods to analyze multivariate data, specifically network, array and survey data, with applications in the social, biological and biomedical sciences. Most recently, her work involved collaborative projects on SARS-CoV-2, trauma care in international settings, and women's health research. She was 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!
October 2024 - Paper led by Dr. Sierra Pugh titled "A Hierarchical Bayesian Model for Estimating Age-Specific COVID-19 Infection Fatality Rates" accepted for publication in Statistics in Medicine!
October 2024 - Paper led by Upasana Dutta titled "Sampling Random Graphs with Specified Degree Sequences" accepted for publication in the Journal of Graphical and Computational Statistics!