Di Wu is a biostatistician working in the bioinformatics field. She has developed novel statistical bioinformatics methods to handle biomedical and genomics data. She also has developed gene set testing methods with high citations, in the empirical Bayesian framework, to take care of small complex design and genewise correlation structure.

Dr. Wu has applied data integration strategy to identify the potential cell of origin for different breast cancer subtypes in silicon (at WEHI). Her recent projects have focused on genomic data based drug repurposing (at Harvard). Her group at UNC is now developing computational methods to analyze data from the microbiome sequnencing, single cell omics, cancer genomics and electronic health records.