Mingyao Li, PhD
Professor of Biostatistics
Dr. Li joined the biostatistics faculty in 2006. She is also a faculty member of the Genomics and Computational Biology (GCB) graduate program. Her main research area is statistical genetics and genomics, bioinformatics and computational biology. In particular, she is interested in developing statistical methods and computational tools for identifying and characterizing genetic variants that influence susceptibility to complex diseases. Her current research work involves the analysis of high-throughput genetics/genomics data such as those generated from next-generation sequencing studies. She is particularly interested in the analysis of RNA sequencing data including single-cell RNA sequencing, and genetics of gene expression.
In addition to methods development, Dr. Li is also interested in collaborating with researchers seeking to identify complex disease susceptibility genes. Her collaborative research includes studies of the genetics of cardiometabolic disease, age-related macular degeneration, Alzheimer's disease, and gene therapy for rare diseases. Dr. Li actively serves in the scientific community. She is on the editorial board of Briefings in Bioinformatics; is a regular member of the Genomics, Computational Biology and Technology (GCAT) study section; and is a member of the review committee of the Center for Inherited Disease Research (CIDR) of the National Institutes of Health.
Content Area Specialties
Cardiometabolic disease, age-related macular degeneration, Alzheimer's disease, gene therapy for rare diseases
Statistical genetics and gene mapping of complex diseases, genome-wide association and next-generation sequencing, statistical methods for RNA sequencing data analysis, statistical methods for single-cell genomics