Victor Borza, MS
More Information
Victor Borza, MS is a Medical Scientist Training Program (MSTP) student advised by Bradley Malin, Ph.D. and funded by a fellowship from the National Heart, Lung, and Blood Institute. His research includes methods for improving representativeness and diversity in large biomedical datasets, the relationship between dataset composition and downstream algorithmic performance and fairness, and the sub-phenotyping and prediction of outcomes for people living with obstructive sleep apnea using electronic health records (EHR) data.
Victor completed his undergraduate training at Dartmouth College, receiving a B.A. and B.Eng. in 2018. His undergraduate and post-graduate research studied the role of chemotaxis in bacterial pathogenesis for lung infections, the use of metabolomics for diagnosing prosthetic joint infections, the use of Cherenkov radiation to visualize radiation therapy in real time, and the development of early detection systems for occult internal hemorrhage. Victor joined the Vanderbilt MSTP in 2019, received a M.S. in biomedical informatics from Vanderbilt in 2024, and is currently pursuing dual M.D. and Ph.D. degrees. In 2024, he received the 1st place Martin Epstein Award at the Student Paper Competition at the American Medical Informatics Association (AMIA) Annual Symposium for his paper “Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets”.