Ouyang Lab
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 the diagnosis and treatment of cardiovascular disease. In parallel, we are deeply interested in the active deployment of artificial intelligence (AI) models in healthcare and have designed the first blinded, randomized clinical trial of AI in cardiology (Nature 2023). As clinicians, computer scientists, informaticians and statisticians, we are fascinated by how we understand, visualize and interpret data.
Personal Statement
Our team works on multimodal datasets, linking EHR, ECG, echo and MRI data for a broad perspective on cardiovascular disease. We have diverse backgrounds, ranging from physics, mechanical engineering, computer science, to cardiology, anesthesia and internal medicine.
David Ouyang
Publications
Learn more about the recent research publications from the Ouyang Lab.
Job Opportunities
We are recruiting postdoctoral fellows and research scientists with a background in computer vision and NLP, along with extensive prior experience with PyTorch, TorchVision and Huggingfaces libraries. If you're interested in improving cardiovascular imaging and cardiovascular care, join our team.