Dr. Glidden is a physician-scientist whose research spans clinical cardiovascular medicine, advanced imaging, and artificial intelligence. He completed his MD/PhD training at Case Western Reserve University, supported by an NIH F30 fellowship, where he developed ultra-stable insulin therapeutics and applied four-dimensional NMR spectroscopy to study protein structure and dynamics. Prior to his doctoral training, Dr. Glidden conducted research ranging from engineering custom optics for nanoparticle dynamics to analyzing high-energy particle collisions at CERN in Geneva, Switzerland.

Currently, as a post-doctoral and advanced cardiac imaging Fellow in the Harrington Physician-Scientist Pathway at University Hospitals/Case Western Reserve University, Dr. Glidden focuses on applying artificial intelligence to multimodal cardiovascular data. His work has included developing explainable deep learning models for ECG-based risk prediction, creating large language model frameworks for automated disease phenotyping, and leveraging imaging and clinical biomarkers to improve cardiovascular risk stratification. He has contributed to large-scale outcomes research, including studies of coronary artery calcium progression and cardiovascular risk stratification in patients with autoimmune disease.