Tanner B. Barbour, BS is a Data Scientist for the Center for Biostatistics and Health Data Science. He obtained his bachelor’s degree in Human Nutrition, Foods, and Exercise (HNFE) from Virginia Tech in May 2023. Tanner began as a volunteer at CBHDS in 2022 and completed an independent study in which he built an encoder-decoder model architecture that utilized discharge summaries from the electronic health record to make DRG code predictions. Upon graduation, he began his position as a Data Scientist, where he assists with tasks related to study design, data management, statistical analysis, manuscript preparation, randomization scheme generation, and clinical study reporting.
Tanner has contributed his data science expertise to fields such as addiction recovery, behavioral economics, bioinformatics, exercise physiology, health inequity, mental health care, and predictive analytics. He has performed data management via Amazon Web Services, developed surveys in REDCap, and performed data analysis utilizing Python, R, and SAS. Additionally, he has co-authored published research and is a co-author on several research publications currently under review.
Azziza A.B., Ji W., Barbour T.B., Lozano A.J., Hanlon A.L. BESI: Behavioral and Environmental Sensing and Intervention for Dementia Caregiver Empowerment – Phase 3. American Journal of Geriatric Psychiatry
Hajialigol D., Kaknes D., Barbour T.B., Yao D., North C., Sun J., Liem D., Wang X. DRGCODER: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups EMNLP
Pellegrin K.L., Barbour T.B., Lozano A.J., Hanlon A.L. Social Vulnerability Predictors of Acute Care Use in Rural Hawaii: Guiding Local Efforts to Achieve Health Equity Journal of Health Care for the Poor and Underserved (pre-print)
Kaknes D.A, Barbour T.B., Ji W., Naylor M.D., Hanlon A.L. Interventional Analytics in Skilled Nursing Facilities Associated with Reduced Readmissions The American Journal of Managed Care