University of Science and Technology of China, BS (biology),
University of Wisconsin-Madison, Ph.D. (animal sciences) and MS (statistics),
Center for Human Genome Variation, Duke University, Postdoc
Before joining ICER, Nanye was a statistical geneticist at the University of North Carolina-Chapel Hill Eshelman School of Pharmacy where she held a leading role in large-scale genetic data analysis for DILIN (Drug Induced Liver Injury Network) funded by National Institute of Diabetes and Digestive and Kidney Diseases.
Nanye is generally interested in statistical genetics, quantitative genetics, human genetics, animal breeding and genetics. Her expertise mainly includes: 1) genome wide association studies, involving statistics and bioinformatics; 2) pathway enrichment analysis and gene set association; 3) Bayesian multi-variant regression for phenotype/disease risk prediction; and 4) machine learning methods applied in genetic discoveries.
As a research consultant at ICER, she will focus on supporting HPCC users in the genetics field.