University of Pennsylvania
I'm one of the integrated Cardiothoracic Surgery residents at the University of Pennsylvania. I previously worked in the Hiesinger Lab within the Department of Cardiothoracic Surgery at Stanford University.
My research spans cardiovascular imaging, deep learning, bioinformatics, and biophysics, and has been supported by the American Heart Association postdoctoral fellowship award. A list of my publications and patents are available on Google Scholar.
Research
My current research is focused on the development of deep representation learners for cardiac imaging - systems that can not only process scans in their raw form, but also capture anatomical and pathophysiological nuances in a self-supervised manner. In some of my most recent work, we describe models that understand and diagnose conditions ranging from cardiac amyloidosis to hypertrophic cardiomyopathy with clinical-grade accuracy, using a fraction of the labeled data typically required to train traditional supervised systems. I am particularly interested in building foundational vision systems for cardiovascular imaging and studying their emergent zero-shot capabilities. The goal is AI that augments clinical judgment rather than replacing it - precise, interpretable, and deployable at scale.
Selected Publications