Dr. Jiang's primary research interest is to harmonize advanced machine learning and security/privacy technologies to develop privacy-preserving computational phenotyping models. In the last five years, he has received R00, R13, R21, R01, U01, CPRIT Rising Stars, UT STARs awards as principal investigator, as well as distinguished and best paper awards from AMIA Summit on Clinical Research Informatics (CRI) and Translational Bioinformatics (TBI). He serves as the associate editor for BMC medical informatics and decision making, the guest lead editor for Cancer Informatics, and the editorial board member of Journal of the American Medical Informatics Association and Harvard Papers on Technology Science (H-POTS).
Publications/Creative Works
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Affiliations
Training Grants
NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows
Research Consortia
Gulf Coast Cluster for Artificial Intelligence in Healthcare
Training Grants
Computational Cancer Biology Training Program
Training in Precision Environmental Health Sciences (TPEHS)
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