I help biotech companies, pharma
teams, and research institutions turn
complex genomic and multi-omics data
into clear, publication-ready insights
— on time and with full
reproducibility. What I specialize in:
\- Bulk RNA\-seq & single\-cell
RNA\-seq \(scRNA\-seq\) analysis \-
Spatial transcriptomics \(Visium\) \-
DNA methylation\, metabolomics &
microbiome data \- Differential gene
expression & splicing analysis \-
Pathway & gene set enrichment
analysis \(GSEA\) \- Network analysis
& pseudotime inference \-
Dimensionality reduction &
unsupervised clustering \-
Multi\-omics data integration
\(single\-cell\, spatial\, immune
repertoire\, clinical metadata\) Tools
& Stack: R/Bioconductor and Python
— with a strong focus on clean,
well-documented, reproducible
pipelines and publication-quality
figures. How I work: I adapt to data
quality issues, complex experimental
designs, and tight timelines. Every
deliverable includes clear
documentation so your team can build
on the results. I hold a 100% Job
Success Score and Top Rated status on
Upwork. Send me a message describing
your dataset and your goal — I will
tell you honestly whether and how I
can help.