Hongbin Zhang

Dr. Hongbin Zhang is an Assistant Professor in the Department of Biostatistics at the University of Kentucky's College of Public Health. His research focuses on developing statistical methods for longitudinal studies, particularly in handling complex data structures such as censored covariates, random change-points, and correlated panel data. He leads NIH-funded projects (R03, R21) targeting statistical innovations for neurocysticercosis and HIV surveillance. Collaborative work spans orthopedics, radiology, and public health, resulting in over 30 peer-reviewed publications. Dr. Zhang's expertise includes computational statistics, EM algorithms, joint models, and causal inference, with applications to global health challenges like water purification in developing regions.

His academic background includes a PhD in Epidemiology & Biostatistics. Current grants include NIH support for multistate models in neurocysticercosis studies and adaptive clinical trial designs. Notable projects address HIV surveillance via mechanistic nonlinear models and cyst evolution patterns in parasitic diseases. He actively contributes to interdisciplinary teams tackling public health issues such as sexual health disparities and surgical outcomes.

Research themes emphasize methodological rigor applied to real-world problems, including:

• Statistical modeling of interval-censored data
• Random change-point analysis in longitudinal settings
• Integration of mechanistic models with observational data
• Public health interventions in resource-limited environments

Collaborative NIH R01 contributions include studies on arthritis, HIV care, and orthopedic surgery. His work bridges theoretical advancements with practical applications, exemplified by innovations in hemodialyzer-based water filtration systems for Ghana's rural communities.