Contributions to Public Health
My research focuses on developing statistical and computational methods for high-dimensional genomic data, with a focus on single-cell and spatial omics, cellular deconvolution, and causal mediation analysis. We collaborate broadly on the genomics of complex diseases using single-cell RNA-seq, DNA methylation, and proteomics data. Our research is supported by NIH, including R01AG080590 on population-level cell-type-specific analyses and R21AG087057 on heterogeneous genetic effects and mediation in Alzheimer's disease.
2010 | Renmin University of China, Beijing, China | BS, Statistics
2012 | Renmin University of China, Beijing, China | MS, Statistics
2017 | University of Chicago, Chicago, IL | PhD, Biostatistics
2019 | Carnegie Mellon University, Pittsburgh, PA | Postdoctoral Researcher, Statistics and Data Science
BIOST 2068 Introduction to Causal Inference
