Hanwen Huang

Hanwen Huang is an Associate Professor in the Department of Biostatistics and Data Science at the Medical College of Georgia, Augusta University. He holds a PhD in Statistics from the University of North Carolina at Chapel Hill (2011). His research focuses on high-dimensional data analysis, statistical machine learning, and computational methods for dynamical models in infectious diseases. He has developed Bayesian frameworks for ordinary differential equations and computational approaches for HIV recombination regions.

Education: PhD (Statistics), University of North Carolina at Chapel Hill, 2011.

Research interests include Bayesian statistical methods, high-dimensional inference, and interdisciplinary collaborations. His work bridges theory and application, addressing challenges in epidemiology, oncology, and nutritional studies. Recent publications explore topics such as robust L1-penalized estimators, influenza dynamics modeling, and the impact of vitamins on COVID-19 severity.

Teaching areas include Introductory Biostatistics, Linear Models, and Statistical Machine Learning. His research has been applied to diverse fields, including cancer metabolism and public health interventions. Collaborative projects highlight his commitment to solving real-world problems through statistical innovation.