Computational biologist focused on building reproducible omics workflows that turn sequencing data into interpretable biological and translational insights.
I work across single-cell RNA-seq, spatial transcriptomics, RNA+ATAC multiome, and bulk RNA-seq using Python, R, and reproducible workflow principles.
My GitHub highlights end-to-end projects in tumour microenvironment analysis, microglial regulatory genomics, spatial transcriptomics, and scalable genomics pipelines.
- Single-cell and single-nucleus RNA-seq analysis
- Spatial transcriptomics and tissue microenvironment analysis
- RNA+ATAC multiome and regulatory genomics
- Bulk RNA-seq differential expression and pathway analysis
- Reproducible pipeline development in Python, R, Git, and Nextflow
Computational Biologist — Theomics International
Delivered end-to-end multi-omics analyses across 30+ client and research projects spanning RNA-seq, WGS, metagenomics, ChIP-seq, and miRNA-seq.
Bioinformatics Research Assistant — Brigham and Women's Hospital - Cox Lab
Analyzed microglial transcriptomics in Alzheimer's disease mouse models using bulk RNA-seq, DESeq2, quality control, pathway analysis, and biological interpretation.
M.S. Bioinformatics — Northeastern University