Bio

I'm a researcher and developer passionate about computational biology, data science, and high-performance computing. I enjoy building tools and pipelines that make complex data more accessible and meaningful.

🔬 Research Interests

• Computational biology & bioinformatics
• Data visualization & interactive dashboards
• High-performance computing (HPC)
• Machine learning for genomics

🛠 Tech Stack

• Languages: R, Nextflow, Python, JavaScript, Bash
• Frameworks & Tools: Shiny, Plotly, DataTables
• Data Processing: tidyverse, pandas, NumPy
• HPC & Cloud: Slurm, Singularity, Apptainer, Docker

🚀 Projects

Here are a few things I've been working on:

• PanRank – A phenotype-based gene prioritization tool using machine learning.
• TBtypeR - An R package for ultra-sensitive detection of mixed tuberculosis infections for NGS data
  • published here: https://www.nature.com/articles/s42003-025-07705-9
• PLASTER – A pipeline for accurate genotyping of complex CYP2D6 alleles and pharmocogenic interpretation
  • published here: https://www.nature.com/articles/s42003-022-03102-8

📫 Get in Touch

• GitHub: @jemunro
• Bluesky: @jemunro.bsky.social