Zhe He
Vice Chair of Amia Knowledge Discovery and Data Mining Working Group @Amia American Medical Informatics Association
Signup · Get unlimited contacts
WORK HISTORY
Vice Chair of Amia Knowledge Discovery and Data Mining Working Group @Amia American Medical Informatics Association
AMIA Working Group serves as networks in which AMIA members can exchange information on a particular area of special interest in biomedical and health informatics. KDDM focuses on the process of extracting meaningful patterns from biomedical data (knowledge discovery), and using automated computational and statistical tools and techniques on large datasets (data mining). As such, KDDM Working Group has been a nexus of researchers and practitioners who develop and use AI and data science techniques in the biomedical and clinical domain to share their experiences, best practices, and perspectives to move the field forward.
EDUCATION
New Jersey Institute of Technology
Ph.D., Computer Science
Beijing University of Posts and Telecommunications
B.E., Computer Science and Technology
Columbia University in the City of New York
M.S., Computer Science
Columbia University in the City of New York
Postdoctoral Training, Biomedical Informatics
ABOUT ZHE HE
Dr. Zhe He is a tenured Associate Professor in the School of Information (iSchool) at Florida State University. He is also Informatics Lead and Director of the Biostatistics, Informatics, and Research Design (BIRD) Program of UF-FSU CTSA Hub. His research lies at the intersection of Biomedical Informatics, Information Science, and Computer Science with expertise in Machine Learning, Natural Language Processing, and Health Data Analytics. He has published over 110 papers in leading biomedical informatics outlets including JAMIA, JBI, JMIR, npj Digital Medicine, Artificial Intelligence in Medicine, AMIA, and MEDINFO. He received two Distinguished Paper Awards in AMIA 2015 and AMIA 2017. In 2022, he received Lois Lunin Award from the Association for Information Science & Technology (ASIS & T). He is an Senior Member.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.