Driven by a passion for translational discovery, Ryan is eager to develop and apply artificial intelligence (AI)–electrocardiogram (ECG) models and deep learning to advance diagnostics and unravel the biological mechanisms underlying cardiovascular disease.
Outside of the lab and school, Ryan enjoys the outdoors, often playing pickup basketball, cycling, and backpacking with friends and family.