Research

Current Research Projects

MicrobiomeStat Development

• Leading the development of a comprehensive R package for longitudinal microbiome data analysis
• Features include:
  • Longitudinal data visualization
  • Statistical analysis tools
  • Interactive Shiny interface (in development)
• Impact: Currently being used by renowned research labs including UCSD’s gilbert-lab

ggpicrust2

• Developed an R package for microbiome functional profiling
• Key features:
  • PICRUSt2 output visualization
  • Statistical analysis tools
  • Pathway analysis
• Impact: 97+ GitHub stars, 13,000+ downloads, 46+ citations

Research Interests

Statistical Methods

• Longitudinal Data Analysis
• High-dimensional Data Analysis
• Machine Learning Applications

Application Areas

• Microbiome Data Analysis
• Multi-omics Integration
• Single-cell Analysis
• Spatial Transcriptomics