Jianying Hu

Dr. Jianying Hu is IBM Fellow, Global Science Leader of AI for Health, Director of Healthcare and Life Sciences Research at IBM, and Adjunct Professor at Icahn School of Medicine at Mount Sinai. She is also the IBM Executive Partnership Leader of the Cleveland Clinic-IBM Discovery Accelerator. She has conducted and led extensive research in machine learning, data mining, statistical pattern recognition, and signal processing, with applications to healthcare analytics and medical informatics, business analytics, and multimedia content analysis, with recent efforts focusing on developing AI technologies for accelerated discovery of therapeutics.

Dr. Hu has published over 150 peer reviewed scientific papers and holds over 50 patents, and currently serves on the External Advisory Board of the NIH AIM-AHEAD Program, the Industry Advisory Board of Boston University Hariri Institute for Computing, Editorial Board of JAMIA Open, and the Advisory Board of the journal JHIR. She served on the National Academy of Science, Engineering and Medicine (NASEM) Committee on Creating a Framework for Emerging Science, Technology, and Innovation in Health from 2022 to 2023, on the Journals and Publications Committee of AMIA from 2020 to 2023, as Chair of the Knowledge Discovery and Data Mining (KDDM) Working Group of the American Medical Informatics Association (AMIA) from 2014 to 2016, on the Computational Science Advisory Board of Michael J. Fox Foundation from 2017 to 2018, and on the External Advisory Board of Vanderbilt University Department of Biomedical Informatics from 2018 to 2020. She has also served as Associate Editor for many journals including IEEE TPAMI, IEEE TIP, and Pattern Recognition.

Dr. Hu is a fellow of the American College of Medical Informatics (ACMI), International Academy of Health Sciences Informatics (IAHSI), IEEE, and the International Association of Pattern Recognition (IAPR). She received the Asian American Engineer of the Year Award in 2013.

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