David Ouyang

David Ouyang

Staff Physician and Assistant Professor
Smidt Heart Institute and Division of Artificial Intelligence in Medicine
Cedars-Sinai Medical Center
127 S San Vicente Blvd, Los Angeles, CA
david.ouyang@cshs.org
[CV]

About

I am a cardiologist and researcher in the Department of Cardiology and Division of Artificial Intelligence in Medicine at Cedars-Sinai Medical Center. Our group works on applications of deep learning, computer vision, and the statistical analysis of large datasets within cardiovascular medicine. As an echocardiographer, I apply deep learning for precision phenotyping in cardiac ultrasound and the deployment and clinicial trials of AI models. Our work has been published in Nature, Nature Medicine, JAMA Cardiology, Circulation, NEJM AI, and other scientific venues.

As a physician-scientist and statistician with focus on cardiology and imaging, I majored in statistics at Rice University, obtained my 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.

Research

Our group works on multi-modal datasets, linking EHR, ECG, echo, and MRI data for a broad perspective on cardiovascular disease and have diverse backgrounds (ranging from physics, mechanical engineering, computer science to cardiology, anesthesia, and internal medicine). We are recruiting postdoctoral fellows and research scientists with background in computer vision and NLP (extensive prior experience with Pytorch, TorchVision, Huggingfaces libraries). If you're interested in improving cardiovascular imaging and cardiovascular care, please email me!

The best part of the job are the poeple I get work with. I have the good fortune of working with a great group of motivated, talented, and creative individuals from a wide range of backgrounds.

Members of the lab include:

  • Grant Duffy, Data Scientist
  • Kai Christensen, Data Scientist and Sys Admin
  • Milos Vukadinovic, UCLA Bioengineering PhD Student
  • Amey Vrudhula, Sarnoff Fellow, Upcoming Stanford Resident
  • I-Min Chiu, Postdoctoral Fellow, Emergency Medicine Physician, CS PhD
  • Yuki Sahashi, Postdoctoral Fellow, Electrophysiologist
  • Justin Rhee, Brown University Medical Student
  • Victoria Yuan, UCLA Medical Student, Upcoming Sarnoff Fellow
  • Gauri Renjith, UCSD CS Undergraduate

  • Alumni of the lab include:
  • Ting Qi, Amazon Software Engineer
  • John Theurer, Zither Labs Software Engineer
  • Ishan Jain, UCSB Undergraduate


  • Select Publications

    Precision Phenotyping of Echocardiography


    AI Clinical Trials and Deployment


    Deep Phenotyping


    Healthcare Data Science


    Gender Disparities in Medicine

    A complete list of publications is available at Google Scholar