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Xinxin (Katie) Zhu

Executive Director, Center for Biomedical Data Science

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Xinxin (Katie) Zhu, MD, PhD, FAMIA, FIAHSI



Dr. Xinxin Zhu is a clinician and healthcare informatics professional with substantial experience in health management, biomedical informatics research, advisory and consulting, with an established track record of developing creative solutions to complex healthcare challenges. She brings comprehensive knowledge and multidisciplinary experience to her current role as the Executive Director of the Center for Biomedical Data Science at School of Medicine, Yale University. In addition to her medical training and practice in anesthesiology, she also received her M.S. in Computer Science from Rensselaer Polytechnic Institute and Ph.D. in Biomedical Informatics from Columbia University under the U.S. National Library of Medicine fellowship. Prior to joining Yale faculty, Dr. Zhu served as an External Advisory Board member to the Center for Advanced Technology at Columbia University, physician scientist lead at the Center for Computational Health at IBM Watson Research, Chief Medical Information Officer at Kforce Government Solutions, associate medical director at Pfizer, clinical project manager at Philips, and healthcare subject matter expert at the U.S. Department of Veterans Affairs. She is the recipient of many excellence awards, and author of numerous scientific publications and 13 granted patents, as well as co-editor for an Elsevier book on Digital Health. Dr. Zhu has served as the Co-Chair for the American Medical Informatics Association’s Global Health Informatics Working Group, VP of Membership for the Consumer and Pervasive Health Informatics Working Group, as well as Scientific Program and Women Leadership Committee members. She is the Co-Chair for the International Medical Informatics Association’s Organizational and Social Issues in Healthcare Working Group. She was elected to the fellowship of the American Medical Informatics Association, and the International Academy of Health Sciences Informatics.

Education & Training

  • PhD
    Columbia University, Biomedical Informatics
  • MS
    Rensselaer Polytechnic Institute, Computer Science
  • MD
    China Medical University, Clinical Medicine, Anesthesiology

Departments & Organizations