Computational biologist and cell biologist uncovering disease mechanisms through bulk and single-cell genomics and epigenomics. I design reproducible pipelines to transform complex sequencing data into mechanistic insights and biological discoveries. PhD in Molecular Pathobiology (Mie University); Postdoctoral Associate and AHA Fellow at Rutgers NJMS
Tbx1-depleted-Tbx1cre-lineage — Four-phase Nextflow pipeline characterizing cell-autonomous Tbx1 loss in cardiopharyngeal progenitors. scVI integration (batch correction with preserved KO phenotype), pseudobulk DESeq2, GO enrichment. Identifies neural crest loss, cardiac maturation impairment, and KO-specific neuronal fate adoption at single-cell resolution.
Mesp1cre-lineage-developmental-atlas — Phased Nextflow pipeline for Mesp1 cardiopharyngeal lineage analysis across E8.0→E10.5. fastMNN integration into a developmental atlas with documented artifact recovery. Explore it live: mesp1 Atlas Explorer — deployed R Shiny app, ~22k cells across 15 cell types.
Mouse-embryonic-brain-multiome-analysis — Joint scRNA-seq + scATAC-seq integration (Seurat v5 WNN + Signac) resolving 13 cell types, with ATAC coverage tracks and motif enrichment linking chromatin state to lineage identity.
Kdr-depleted-Mef2cAHFcre-lineage-seurat — Conditional-knockout lineage analysis with validated cloud execution on AWS Batch + S3 via the Nextflow executor.
Nextflow DSL2 · Docker · AWS (Batch, EC2, S3) · R/Seurat · Signac · scVI · scanpy · DESeq2 · clusterProfiler · Cell Ranger · STAR · GATK4 · Python · Bash