PhD Researcher @ Johns Hopkins University | Trayanova Lab
Building
My interest in healthcare technologies began when I witnessed how advanced imaging enabled physicians to make life-saving decisions for my loved ones. Today, at the Trayanova Lab (JHU), I am translating that inspiration into code—building Digital Twins of the human heart to predict arrhythmia before it happens.
Ishan Vatsaraj | PhD Candidate
Developed ECGWiz, a multimodal deep learning framework using 12-lead surface ECGs as surrogates to extract substrate-level information.
View Details →Interpretable AI to detect fibrotic substrates and predict Late Gadolinium Enhancement (LGE) on CMR for Cardiac Sarcoidosis.
View Details →Developing generalizable AI models for ECG diagnosis. Key contribution: SegBAW-Net — a novel segmentation architecture for automated bi-atrial modeling from cardiac imaging.
Johns Hopkins University, Whiting School of Engineering
Johns Hopkins University, School of Medicine
Mentoring 3 undergraduate students in the Trayanova Lab on computational cardiology research projects.
American Heart Association (2025)
Heart Rhythm Society
Finalist, ISCE 2024
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