Our research is at the interface of statistics and biomedical research.
​The specific topics we have examined include:

• Statistics
  • Dimension reduction and clustering
  • Graphical models, feature/variable selection
  • Bayesian modeling
  • Spatial and temporal data
• Biomedical research
  • Statistical modeling and analysis of large-scale epigenomic (ATAC-Seq, DNase-Seq), and transcriptomic (RNA-Seq, microarray) data
  • Transcription factor motif prediction
  • Association study for genetic (next generation sequencing and array) data
  • Neurodevelopmental and neurodegenerative disorders

Featured Research

• Clustering and feature selection for single cell genomic data [Learn more]

• Simultaneous dimension reduction and adjustment for confounding variation [Learn more]

• Bayesian estimation of Gaussian Graphical Models [Learn more]

• Joint differential expression estimation for spatial and temporal data [Learn more]