Yuan Huang is an Assistant Professor in the Department of Biostatistics at Yale School of Public Health. Her methodological research is focused on statistical methods for high-dimensional data and has been motivated by challenges posted by analyzing cancer genomics, such as low reproducibly, nonlinearity, and heterogeneity. Applications from her work include biomarker identification, large-scale network structure estimation, GxE analysis, etc. She is particularly interested in integrative analysis that simultaneously analyzes multiple datasets to improve the discovery. Recently she collaborates extensively in neurodegenerative diseases, such as Huntington’s disease and multiple sclerosis. She is also actively involved in collaborative research on clinical trials, genetics, epidemiology, and other biomedical fields.