Shannon Gallagher is a data scientist in the SEI’s CERT Division. In that role, Gallagher focuses on modeling, uncertainty quantification, and data visualization and leading research to develop a statistical pipeline to help determine the authenticity of images and videos. Prior to joining the SEI, Gallagher worked as a post-doctoral researcher at the National Institute of Allergy and Infectious Diseases. There she worked on statistical modeling of infectious diseases, competing events analysis for the ACTT-1 COVID-19 trial, and analysis of statistical tests in low event rate settings. Gallagher received a doctoral degree in statistics from Carnegie Mellon University (CMU). While at CMU, Gallagher was a research and teaching assistant and served as president of the Women in Statistics group.