School of Medicine


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  • James Longoria, MD

    James Longoria, MD

    Clinical Associate Professor, Cardiothoracic Surgery

    BioDr. Longoria is a board-certified, fellowship-trained cardiothoracic surgeon. He is a clinical associate professor in the Department of Cardiothoracic Surgery at Stanford University School of Medicine.

    Deeply accomplished in all facets of complex adult cardiothoracic procedures, Dr. Longoria is a high-volume surgeon with more than 20 years of experience and an exceptionally low mortality and complication rate.

    Dr. Longoria’s surgical experience includes complex mitral valve and tricuspid valve repair, coronary artery bypass grafting, adult congenital repair, as well as procedures for high risk VAD patients. He performs cardiac transplantation, carotid endarterectomy, and implantation of all FDA-approved mechanical circulatory support devices. Additionally, he performs catheter-based valvular procedures (such as transcatheter aortic valve replacement, or TAVR) and open and video-assisted thoracoscopic surgery (VATS) for pulmonary surgical procedures.

    He has an applied interest in atrial fibrillation (AFib) and is a nationally recognized expert in the minimally invasive surgical treatment of Atrial Fibrillation (AFib). Dr. Longoria was issued a method patent from the U.S. Patent and Trademark Office for developing the TTMaze (Totally Thoracoscopic) procedure that is central to the Dual Epicardial Endocardial Persistent (DEEP) AFib clinical trial.

    Before joining Stanford, Dr. Longoria was the surgical director of cardiac ablation at a prominent AFib center certified by the Society of Chest Pain Centers. He holds patents for a synthetic chord used to connect tissue and for specialized methods he developed to treat cardiac arrhythmias.

    At Stanford, Dr. Longoria brings a commitment to patientcentric, personalized care. He is committed to making the experience of surgery as pleasant as possible for his patients. He is also excited for the opportunity to conduct translational research that utilizes the most advanced technology available, in collaboration with colleagues from other disciplines.

    For his outcomes and high patient satisfaction ratings, Dr. Longoria has earned awards and recognition, including being named a Top Doctor of Sacramento by his peers for the last five years in a row. He has also been an honoree of the President’s Award for patient satisfaction by the Sutter Independent Physicians.

    Dr. Longoria has published articles on genetic variants associated with atrial fibrillation, thoracoscopic left atrial appendage clipping, radiofrequency ablation, and other topics. His work has appeared in the Journal of Thoracic and Cardiovascular Surgery, Annals of Thoracic Surgery, Journal of the American College of Cardiology, Journal of Cardiovascular Electrophysiology, and elsewhere.

    He has made numerous presentations on atrial fibrillation surgery and other topics at conferences including the Annual Meeting of the American Association of Thoracic Surgery, Society of Thoracic Surgeons, and International Society for Heart and Lung Transplantation.

    Dr. Longoria is a Fellow of the American College of Surgeons and American College of Cardiology. He is a member of the Society of Thoracic Surgeons, Western Thoracic Surgical Association, the International Society for Minimally Invasive Cardiothoracic Surgery, and the Heart Rhythm Society.

  • Norman Lowenbraun

    Norman Lowenbraun

    Member, Cardiovascular Institute

    BioDr Lowenbraun has been a practicing cardiologist in the Bay Area for over 25 years, having moved here after receiving his medical and specialty training on the East Coast. He believes offering the personal care of a community setting and empowering the patient in their healthcare decisions, combined with the resources of Stanford Hospital , offers his patients the best of both worlds.

  • Matthew Lungren

    Matthew Lungren

    Adjunct Professor, Biomedical Data Science

    BioDr. Lungren is Chief Data Science Officer for Microsoft Health & Life Sciences where he focuses on translating cutting edge technology, including generative AI and cloud services, into innovative healthcare applications. As a physician and clinical machine learning researcher, he maintains a part-time clinical practice at UCSF while also continuing his research and teaching roles as adjunct professor at Stanford University.

    Prior to joining Microsoft, Dr Lungren was a clinical interventional radiologist and research faculty at Stanford University Medical School where he led the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI). He later served as Principal for Clinical AI/ML at Amazon Web Services in World Wide Public Sector Healthcare, focusing on business development for clinical machine learning technologies in the public cloud.

    His scientific work has led to more than 150 publications, including work on multi-modal data fusion models for healthcare applications, new computer vision and natural language processing approaches for healthcare specific domains, opportunistic screening with machine learning for public health applications, open medical data as public good, prospective clinical trials for clinical AI translation, and application of generative AI in healthcare. He has served as advisor for early stage startups and large fortune-500 companies on healthcare AI technology development and go-to-market strategy. Dr. Lungren's work has been featured in national news outlets such as NPR, Vice News, Scientific American, and he regularly speaks at national and international scientific meetings on the topic of AI in healthcare.

    Dr. Lungren is also a top rated instructor on Coursera where his AI in Healthcare course designed especially for learners with non-technical backgrounds has been completed by more than 20k students around the world - enrollment is open now: https://www.coursera.org/learn/fundamental-machine-learning-healthcare

  • Michael Ma

    Michael Ma

    Associate Professor of Cardiothoracic Surgery (Pediatric Cardiac Surgery)

    Current Research and Scholarly InterestsOur lab aims to understand the biomechanics that govern a wide spectrum of congenital heart defects, and how those biomechanics change with contemporary operative repair strategies. We simulate operations virtually via CFD, and in ex vivo and in vivo animal models, and analyze how the changes we make alter fluid flow, pressure, and stresses throughout the system. We hope that these experiments can impact and optimize existing techniques that translate quickly to the operating room.