Jiebiao Wang

My research is focused on developing statistical methods and computational tools to solve real biomedical problems. I am interested in statistical methods for high-dimensional genomics data with cell-type heterogeneity, clustered structure, and missing values. My research spans:

• cell type deconvolution
• single-cell RNA sequencing data
• epigenetics/proteomics data
• mixed-effects models
• machine learning methods.

My collaboration is in areas such as Alzheimer’s disease, psychiatry, asthma, and breast cancer. We analyze data from whole genome/exome sequencing, bulk/single-cell RNA sequencing, DNA methylation, proteomics, etc.

Our lab is currently funded by R01AG080590 and R03OD034501.