Dr. Ouyang is a physician-scientist and cardiologist with subspecialty expertise in non-invasive imaging and technical background in programming, statistics, and deep learning. As a statistician by training, he has always been fascinated by how to understand, visualize, and interpret data. With the exponential rise in the amount of data being collected in clinical care, there are huge opportunities to apply the additional data to personalize care and improve diagnosis and treatment of cardiovascular disease. Dr. Ouyang's goal as an investigator is to have expertise in echocardiography and deep learning applied to medical imaging, while leveraging clinically generated data to inform scientific discovery. His previous work has demonstrated the ability of convolutional neural networks to identify systemic human phenotypes that modify cardiovascular risk previously thought to be not apparent on echocardiographic images and precision phenotyping of cardiac function with higher precision than human interpreters. As an advanced cardiac imager and cardiologist, Dr. Ouyang hopes to advance and enhance cardiovascular imaging.