Empowering biological discovery through reproducible computational workflows
- Research scientist at the Dartmouth Genomic Data Science Core, supporting biomedical researchers across Dartmouth and beyond.
- Currently developing RGenEDA, an R package for reproducible genomic exploratory data analysis.
- Experienced in bulk RNA-seq, single-cell (RNA/ATAC), metagenomics, and Snakemake pipeline development.
- Passionate about reproducible pipelines, data visualization, and genomics data.
| Project | Description |
|---|---|
| RGenEDA | R package for streamlined, unified, and reproducible frameworks for omics exploratory data analysis |
| miRNA and IsomiR Pipeline | Snakemake workflow for miRNA and isomiR analysis |
| Clover-Seq | Snakemake workflow for tRNA and small RNA NGS analysis |
| WES Pipeline | Snakemake workflow for whole-exome sequencing processing and analysis |
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