Christina T. Saunders is a Senior Statistical Scientist at Berry Consultants. She serves on the unblinded team of statisticians who conduct efficacy analyses for Bayesian adaptive trials. She has contributed to the platform trials REMAP-CAP, PRINCIPLE, GBM AGILE, and PANORAMIC, and the combined master protocol for the REMAP-CAP, ACTIV-4a, and ATTACC trials. She has conducted over 100 trial updates/final analyses for platform trials and has helped implement adaptive trials in various therapeutic areas, including oncology, Alzheimer’s disease, COVID-19, nephrology, stroke, and digestive disorders. Christina is a co-author on peer-reviewed publications in NEJM, JAMA, and The Lancet. She has taught short courses at conferences and for industry clients, sharing her expertise in adaptive/platform trial implementation and DSMB statistical reporting. She holds a B.S. in mathematics from Baylor University and a Ph.D. in biostatistics from Vanderbilt University, where she collaborated with investigators in the Center for Kidney Disease and the Department of Thoracic Surgery. Her doctoral research focused on methods in mediation analysis and causal inference. As a member of the implementation team for adaptive trials at Berry Consultants, Christina endeavors to support scientific rigor, protect trial integrity, and contribute to evidence-based conclusions that may improve patient care.