Biostatistics
data analysis
I graduated in 2015 with my M.S. in Biostatistics from Washington University School of Medicine in St. Louis after publishing my thesis on voxelwise statistical analysis of stroke risk with a retrospective cohort. I continued this work throughout my Ph.D. under Dr. Andria Ford in the Department of Neurology. Upon completion of my Ph.D., I was able to join the research group as a full time Staff Scientist overseeing the statistical analysis of clinical trial and research data.
My current work is the implementation of novel MRI sequences for image rectification, stroke recovery trajectory based on multi-center datasets, and the use of statistical analysis to relate metabolism in the brain to regions of stroke formation in a pediatric sickle cell population.
Throughout my time as student and staff scientist, I have developed SAS and R code for the statistical analysis for research publications while facilitating the submission and review of successful grant proposals (R01, K23).
Selected Publications
Fields, M. E., Guilliams, K. P., Ragan, D. K., Binkley, M. M., Eldeniz, C., Chen, Y., . . . Vo, K. D. (2018). Regional oxygen extraction predicts border zone vulnerability to stroke in sickle cell disease. Neurology, 90(13), e1134-e1142.
Guilliams, K. P., Fields, M. E., Ragan, D. K., Eldeniz, C., Binkley, M. M., Chen, Y., . . . Shimony, J. S. (2018). Red cell exchange transfusions lower cerebral blood flow and oxygen extraction fraction in pediatric sickle cell anemia. Blood, 131(9), 1012-1021.
Ford, A. L., Ragan, D. K., Fellah, S., Binkley, M. M., Fields, M. E., Guilliams, K. P., . . . Lee, J.-M. (2018). Silent infarcts in sickle cell anemia occur in the borderzone region and are associated with low cerebral blood flow. Blood, blood-2018-2004-841247.