Dr. Ford is a biostatistician in the Department of Population Health Science with expertise in experimental research design, statistical analysis, and data management. During her pre-doctoral training in psychology and neuroscience, she used neuroimaging methodologies including EEG and fMRI to study visual-spatial attention. While completing a concentration in quantitative psychology, she served as the department’s statistical consultant, helping doctoral students and faculty with study design, analysis and model interpretations. More recently, her research focused on reconciling experimental measures of cognition with those used in clinical prevention and treatment of traumatic brain injury in both athlete and military populations. She also applied novel statistical methods and models to better understand both concussion risk factors, and the neurocognitive consequences following injury. During her post-doctoral work, she acted as the primary statistician and data manager on several multi-site, multi-year studies with multimodal outcomes. Dr. Ford has taught both undergraduate and graduate students research methods and statistics.
Dr. Ford received her MA and PhD in psychology and neuroscience at the University of North Carolina at Chapel Hill and has extensive experience with SAS, R, SQL, and Python.