Maj Dawn L. Sanderson is an Assistant Professor of Statistics in the Mathematics and Statistics Department of the Graduate School of Engineering and Management, Air Force Institute of Technology and the Military Deputy for the Air Force Institute of Technology’s Scientific Test and Analysis Techniques Center of Excellence (STAT COE). Her primary research focuses on the intersection of reliability, uncertainty quantification, and extreme value theory, with an emphasis on Bayesian data analysis.
Maj Sanderson received her commission through Officer Training School (OTS) in 2012. She began her career as a missile operator and then became an operations research analyst. In her capacity as an analyst, Maj Sanderson has served tours at ACC/A9, United States Central Command’s Deployment and Distribution Operations Center (CDDOC), and as faculty at both the United States Air Force Academy and the Air Force Institute of Technology.
PhD in Statistics and Operations Research, University of North Carolina at Chapel Hill, 2025
MS in Applied Mathematics, Air Force Institute of Technology, 2019
MS in Criminal Justice Administration, Columbia Southern University, 2015
BS in Mathematics, Methodist University, 2011
Sanderson, D. L., White, E. D., Geyer, A. J., Roeder, W. P., & Gutman, A. J. (2020). Optimizing the Lightning Warning Radii at Spaceport Florida. Weather and Forecasting, 35(2), 523–536. https://doi.org/10.1175/WAF-D-19-0129.1
Gatheridge, M. A., Sholty, E. A., Inman, A., Pattillo, M., Mindrup, F., & Sanderson, D. L. (2020). Splinting in Carpal Tunnel Syndrome: The Optimal Duration. Military Medicine. Advance online publication. https://doi.org/10.1093/milmed/usaa222