Medical School: UVA
Jesse graduated from the University of Virginia with a degree in Biology and Computer Science. He worked as a summer Technology Intern with Capitol One during which time he developed a framework for an internally facing company-wide social media application. After graduation, he was accepted into a position with an NIH Intramural Research Training Award at the National Institute of Aging. In this role, he studied whole exome sequencing data of mitochondrial DNA with respect to Alzheimer Disease and worked to develop high throughput bioinformatics scripts to analyze and plot data using statistical toolkits and assisted with a machine learning approach to inferring physiologic age. He returned to the University of Virginia for medical school where he has continued with his interests in teaching, service, and research. He is currently working on projects that include comparing the efficacy of machine learning techniques to algorithmically quantify subcutaneous and visceral fat on low versus normal dose CT scan. Jesse is couples matching and his significant other, Harshini, will begin her internship in Pediatrics at UNC. In his spare time, Jesse enjoys long-distance running, traveling, cooking, and board games.