Jianying Hu

Dr. Jianying Hu is IBM Fellow and Global Science Leader, AI for Health and Director of HCLS Research at IBM. She is also an Adjunct Professor at Icahn School of Medicine at Mount Sinai. 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. 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, as Chair of the Knowledge Discovery and Data Mining (KDDM) Working Group of the American Medical Informatics Association (AMIA) from 2014 to 2016, the Computational Science Advisory Board of Michael J. Fox Foundation from 2017 to 2018, and External Advisory Board of Vanderbilt University Department of Biomedical Informatics from 2018 to 2020. She has served as Associate Editor for many journals including IEEE TPAMI, IEEE TIP, and Pattern Recognition, and currently serves on the Journals and Publications Committee of AMIA, Editorial Board of JAMIA Open, the Advisory Board of JHIR, the Industry Advisory Board of Boston University Hariri Institute for Computing, and the External Advisory Board of the NIH AIM-AHEAD Program.

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.