Summary
Sky Jones is a research scientist and MD candidate with eight years of interdisciplinary experience bridging geoscience, remote sensing, and advanced neuroimaging. Formerly a fluvial geomorphologist, Sky developed machine learning and LiDAR-based algorithms for riparian characterization and later applied imaging physics (BOLD, CEST, TRUST, ASE) to prognostic studies in sickle cell disease, moyamoya, and cancer-related lymphedema at Vanderbilt. They combine field-based environmental measurement skills and data-focused automation (R scripts that cut reporting time) with clinical research rigor, enabling efficient translation of novel MR techniques into patient-centered outcomes. Based in Cleveland, Sky brings a rare mix of environmental sensing, algorithm development, and medical training that informs non-invasive approaches to diagnosing and understanding brain disease.
8 years of coding experience
4 years of employment as a software developer
Doctor of Medicine - MD, Doctor of Medicine - MD at Cleveland Clinic Lerner College of Medicine
Bachelor of Science - BS, Geology, Bachelor of Science - BS, Geology at University of North Carolina at Chapel Hill
English