Gang Han

Gang Han is a Professor in the Department of Epidemiology & Biostatistics at Texas A&M University, where he develops and applies advanced statistical methodologies to address critical challenges in personalized medicine, clinical trials, and public health research. His work bridges theoretical biostatistics with practical applications in cancer outcomes, diabetes management, and dementia caregiving, significantly contributing to evidence-based healthcare interventions.

Education

• PhD in Statistics, Ohio State University (2008)
• MS in Statistics, Ohio State University (2005)
• BS in Computer Science, Beijing University of Technology (2003)

Dr. Han's research program focuses on cutting-edge statistical techniques including survival analysis for cancer studies, Bayesian methods for small sample sizes, and innovative trial designs for translational research. His work on HIV viral load modeling and personalized medicine frameworks demonstrates rigorous methodological development applied to complex health problems. Recent publications reveal increasing emphasis on health disparities affecting rural populations, racial minorities, and aging adults, particularly in diabetes care and dementia support systems.

Analysis of recent publications (2024-2025) shows dominant themes in chronic disease management (diabetes, cancer), gerontological research (dementia caregiving, fall prevention), and methodological innovation (latent profile analysis, Bayesian-frequentist hybrid models). His work consistently addresses health equity through urban-rural comparisons and racial/ethnic stratification, with strong emphasis on practical implementation in Texas-based healthcare systems and community interventions.

Scientific Awards

• No awards documented in available sources

Dr. Han's academic contributions include teaching statistical theory, clinical trials methodology, and personalized medicine applications. While specific mentorship details are unavailable, his extensive publication record indicates active supervision of research projects and collaboration with clinical investigators. Current work focuses on digital health interventions for dementia caregivers and predictive modeling for diabetes cost management, supported through multi-institutional partnerships evident in his research portfolio.

He leads development of innovative tools like the GAMEPLAN4CARE online platform and contributes to community-based programs addressing diabetes self-management and fall prevention, demonstrating commitment to translating statistical research into actionable public health solutions.