School of Medicine

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  • Feng Xie

    Feng Xie

    Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine

    BioFeng Xie is currently a postdoctoral scholar at Stanford University School of Medicine, and he recently graduated with a joint Ph.D. degree from Duke University and the National University of Singapore. He previously obtained his bachelor’s degree from Tsinghua University, Beijing, China, in 2017. During his Ph.D. study, he utilized interpretable machine-learning tools in acute and emergency care settings and published eight first-author research papers in high-impact journals with total impact factors of over 60. Specifically, he developed a novel informatics framework called AutoScore, which automatically generates interpretable clinical scores from electronic health records. This open-source software package has been used by local and international researchers, downloaded about 400 times per month from the CRAN platform, and the first paper published in 2020 has garnered around 40 citations. His research interests include machine learning, clinical informatics and decision-making, predictive models, electronic health records, and risk stratification in acute care settings.

  • James Xie

    James Xie

    Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine

    BioDr. James Xie is a board certified pediatrician and pediatric anesthesiologist at Stanford University School of Medicine. His goal is to improve patient care with health information technologies. Currently he is a clinical informatics medical director (CI-MD) and Epic physician builder at Stanford Children's Health.

    Dr. Xie studied computer science and medicine at Stanford University, followed by a combined residency in general pediatrics at Boston Children's Hospital and Boston Medical Center and anesthesiology at Brigham and Women's Hospital. After residency, he completed a fellowship in pediatric anesthesiology at Stanford Children's Health where he subsequently joined the faculty as a Clinical Assistant Professor.