Guangyu Tong

Dr. Guangyu Tong is an Assistant Professor of Cardiovascular Medicine at the Yale School of Medicine with a secondary appointment as Assistant Professor of Biostatistics at the Yale School of Public Health. He directs the Cardiovascular Medicine Analytics Center (CMAC), providing critical analytic support for Yale's cardiovascular research community. Dr. Tong maintains faculty affiliations with multiple interdisciplinary centers including the Center for Methods of Implementation and Prevention Science (CMIPS), the Data Management and Statistics Core of the Alzheimer's Disease Research Center (ADRC-DMSC), the Center for Interdisciplinary Research on AIDS (CIRA), and the Interdepartmental Foci of Firearm Injury Prevention (FIP).

His educational background includes a PhD from Duke University, an MA from Columbia University, and an AB from Peking University. Dr. Tong's research spans three major pillars: methodological innovation in trial design (particularly cluster randomized trials and stepped wedge designs), cardiovascular medicine applications, and firearm injury prevention research. His methodological contributions include advances in sample size estimation, treatment effect heterogeneity analysis, and complex trial designs with unequal cluster sizes.

Dr. Tong's publications reveal a strong focus on translating statistical methods into clinical and public health applications. His work bridges Bayesian statistics with causal inference frameworks to address complex real-world problems like treatment effect heterogeneity in pragmatic trials and survivor average causal effects in studies with mortality outcomes. His research has appeared in top journals including Annals of Applied Statistics, Statistics in Medicine, and American Journal of Epidemiology.

• Faculty Scholar, National Institute on Aging's IMPACT Collaboratory (2023)
• Statistical Editor of the Journal of the American College of Cardiology (JACC)
• Associate Editor for BMC Medicine
• Principal Investigator on multiple NIH-funded trials

As a senior statistician for the Great Smoky Mountain Study (GSMS), Dr. Tong examines how childhood exposures influence long-term mental health and firearm-related behaviors, directly informing policy debates around 'red flag' laws and age-based firearm restrictions. His collaborative work spans numerous NIH-funded projects including PULESA-UGANDA, TRANSFORM-HF, TRUE HAVEN, G4H, and iDOVE2.