About Tianze Jiao
Tianze Jiao received his Ph.D. from the University of Utah. Recently, he accomplished his postdoctoral fellowship from the McGill University and joined the faculty of UF in 2022.
Dr. Jiao is a pharmacoepidemiologist with a focus on cardiovascular, and cardiometabolic diseases. In order to generate real-world evidence to facilitate precision medicine, he conducts research using large databases (i.e., electronic health records and claims data) and advanced analytics (i.e., causal inference modeling, adaptive treatment strategy, and machine learning) to 1) identify and address time-related bias in the real-world data; 2) assess comparative effectiveness/safety, and heterogeneous effects of interventions, as well as drug-drug interactions. His research programs and collaborations have been funded by the Canadian Institutes of Health Research, CDC, and the Bill & Melinda Gates Foundation.
Keywords: Pharmacoepidemiology, Big Data, Adaptive treatment strategy, Machine learning, Cardiology