Tianze Jiao

Tianze Jiao studies how medication affects people, especially those with heart and metabolic diseases. He uses Big Data, like electronic health records and insurance claims, to help doctors make better choices for each patient. His research uses advanced tools like machine learning/AI and statistical models to identify medication use patterns, optimize treatment selection and understand side effects or drug-drug interactions. The list of drugs includes weight-loss medications (e.g., semaglutide) and anticoagulants (e.g., apixaban, rivaroxaban). His work has been supported by major organizations like the Canadian Institutes of Health Research, the CDC, and the Bill & Melinda Gates Foundation.