Ryan completed his Bachelor of Science degree in Biomedical Engineering from the State University of New York University at Buffalo in 2016. Prior to graduating, Ryan was awarded both the NSF Graduate Research Fellowship and Tau Beta Pi Engineering Honors Society Fellowship for graduate study. Ryan earned his PhD in Biomedical Engineering from Johns Hopkins University School of Medicine with a research focus in computational cardiac electrophysiology, working under Dr. Natalia Trayanova. Ryan’s academic accomplishments during his Ph.D. earned him the ISCE Young Investigator Award and ARCS Foundation Scholarship in 2022. Ryan also designed and currently instructs a Master's course in computational cardiology at Johns Hopkins University and participated in a fellowship at the U.S. Food and Drug Administration. Ryan’s research to date has resulted in 10 peer-reviewed journal articles, 1 pre-print, 3 invited talks, and 12 conference abstracts.

Ryan’s research and professional expertise include working on translational personalized treatment planning, 3D design, and machine learning in adult and pediatric cardiology and electrophysiology. His professional abilities extend to writing, presenting, and teaching in a scientific setting. Ryan’s early career goals include developing new personalized tools and devices to deliver groundbreaking medical care to underserved patient populations.