Dr. Jiang is a Christopher Sarofim family associate professor and center director of Secure Artificial intelligence For hEalthcare (SAFE) in the School of Biomedical Informatics (SBMI) at The University of Texas Health Science Center at Houston (UTHealth). Before joining UTHealth in 2018, he was an associate professor with tenure in the Department of Biomedical Informatics (DBMI) at UCSD. He is an associate editor of BMC Medical Informatics and Decision Making and serves as an editorial board member of the Journal of American Medical Informatics Association. His expertise is primarily in health data privacy and predictive models in biomedicine based on his Computer Science Ph.D. training from Carnegie Mellon University. He received NIH R00, R13, R21, R01, U01 grants as PI, obtained career awards like CPRIT Rising Stars and UT Stars, and won several best and distinguished paper awards from American Medical Informatics Association (AMIA) Joint Summits on Translational Science (2012, 2013, 2016). He is one of the organizers of the iDASH Genome Privacy competition (2014 - present), which was reported by Nature News and GenomeWeb. 

Education & Training

Doctorate

School of Computer Science, Carnegie Mellon University

Postdoc

Department of Biomedical Informatics, UC San Diego

Dr. Jiang’s current research interest is to develop human-in-the-loop explainable machine learning models to integrate clinical/biological knowledge and data to complement each other. He is working on identifying optimal drug combinations for preventing Alzheimer’s disease, multimodality learning for neurological disease, reinforcement learning for emergency room monitoring, and computational phenotyping algorithms to stratify patient populations with different responses to the same treatment.