Tianze Jiao, Ph.D.

Dr. Jiao accomplished his postdoctoral training at McGill University. Prior to it, he received his Ph.D. in Pharmacotherapy Outcomes Research & Health Policy from the University of Utah. He recently joined the Department of Pharmaceutical Outcomes & Policy as an Assistant Professor.

His research focuses on investigating and applying innovative and rigorous epidemiologic, economic, and comparative effectiveness research methods to identify and apply the precision medicine approach that will result in optimal outcomes for each patient in a resource-efficient manner. His goal is to investigate precision medicine that is both applicable for specific diseases and affordable, through the use of advanced study design (i.e. adaptive treatment strategy), cutting-edge statistical methods, and machine learning approaches adopting longitudinal Big Data. He has experience in multiple therapeutic areas with a focus on cardiology and pulmonology. As a principal investigator, currently, he is investigating the personalized optimal target blood pressure for patients with the hypertension-a project that is funded by the Canadian Institutes of Health Research.

Keywords: Pharmacoepidemiology, Big Data, Adaptive treatment strategy, Machine learning, Cardiology, Pulmonology