Jiebiao Wang, PhD

I’m an Associate Professor in the Department of Biostatistics and Health Data Science (Primary) and the Clinical and Translational Science Institute (Secondary) at the University of Pittsburgh. Before joining Pitt, I worked as a postdoc researcher at Carnegie Mellon University and received my PhD in Biostatistics from the University of Chicago. I’m interested in statistical genomics and causal inference of omics data. My research is focused on developing statistical methods and computational tools to solve real biomedical problems, including:

  • single-cell/spatial omics data
  • epigeomics data
  • mediation analysis
  • cell type deconvolution.

I’m interested in collaborating across many areas, including Alzheimer’s disease, psychiatry, asthma, and breast cancer. We analyze data from whole-genome sequencing, bulk/single-cell RNA sequencing, DNA methylation, proteomics, and more.

Our lab is currently funded by R01AG080590 (Statistical methods for population-level cell-type-specific analyses of tissue omics data for Alzheimer’s disease) and R21AG087057 (Heterogeneous genetics effects and mediation in Alzheimer’s disease).