Zi Wang

Zi Wang is a Part-Time Lecturer in the Department of Statistics at the University of Pittsburgh's Dietrich School of Arts and Sciences. Their work focuses on applying statistical methodologies to epidemiological research, particularly in cardiovascular health, metabolic syndrome, and women's health. Current research emphasizes the Study of Women’s Health Across the Nation (SWAN), analyzing associations between lifestyle factors, biomarkers, and disease outcomes.

Key research interests include cardiovascular risk assessment, hormonal influences during menopause, and the statistical modeling of longitudinal health data. Recent work has explored the predictive value of the American Heart Association's Life's Essential 8 metrics for mortality and cardiovascular events, as well as HDL-C's role in metabolic syndrome progression.

No scientific awards are explicitly listed in the provided materials. Advising and grant information are not detailed here. Zi Wang is affiliated with the Statistics Department's research activities but no specific labs or collaborative teams are mentioned.