Yuan Huang

Dr. Yuan Huang is an Assistant Professor in the Department of Biostatistics at Yale School of Public Health. She holds multiple affiliations across Yale University, including the Yale Cancer Center, Yale Center for Analytical Sciences (YCAS), Cancer Prevention and Control program, and the Center for Brain & Mind Health.

Her research focuses on developing statistical methods for high-dimensional data, addressing challenges in cancer genomics such as low reproducibility, nonlinearity, and heterogeneity. Dr. Huang specializes in biomarker identification, large-scale network structure estimation, and gene-environment analysis, with recent expansion into neurodegenerative diseases including Alzheimer's, Huntington's, and Parkinson's diseases.

Dr. Huang's publication record demonstrates expertise in advanced statistical methodologies including Bayesian mixture models, precision matrix estimation, functional data analysis, and stagewise algorithms for nonconvex optimization. Her work consistently bridges theoretical statistical development with practical biomedical applications.

As an active collaborator, Dr. Huang works on clinical trials, genetics, epidemiology, and other biomedical research projects, applying her methodological expertise to solve complex data analysis challenges in these fields.