David is a cardiologist and researcher in the Department of Cardiology and Division of Artificial Intelligence in Medicine at Cedars-Sinai Medical Center. As a physician-scientist and statistician with focus on cardiology and cardiovascular imaging, he works on applications of deep learning, computer vision, and the statistical analysis of large datasets within cardiovascular medicine. As a clinical echocardiographer, he works on applying deep learning for precision phenotyping in cardiac ultrasound. Additionally, he is interested in multi-modal datasets, linking EHR, ECG, echo, and MRI data for a holistic look at cardiovascular disease. He majored in statistics at Rice University, obtained an MD at UCSF, and received post-graduate medical education in internal medicine, cardiology, and a postdoc in computer science and biomedical data science at Stanford University.