JPC Hello, I'm J-P Courneya
Lead Bioinformatics Analyst
Center for Vaccine Development
School of Medicine
University of Maryland, Baltimore
I build and maintain multi-omics pipelines — spanning genomics, proteomics, and single-cell and spatial transcriptomics — at the University of Maryland Baltimore Center for Vaccine Development. My work spans HPC infrastructure, reproducible workflow design, and large-scale biological data analysis, supporting faculty, postdocs, and graduate researchers across vaccine and rare disease research.
Code Along
Hands-on materials you can work through at your own pace — guides, workshops, and tutorials built from real research problems.
A 13-phase guide for researchers moving from Slurm/HPC to Kubernetes — workloads, storage, GPU scheduling, Nextflow, and Kubeflow.
View on GitHub → Workshop Intro to R for GenomicsA Data Carpentry lesson introducing R and RStudio in a genomics context — built for researchers working with biological sequence data.
View on GitHub → Workshop R for BioinformaticsAn introduction to R and RStudio for bioinformatics researchers — foundational programming skills applied to biological data.
View on GitHub → Workshop Shell for GenomicsAn introduction to the Unix shell for genomics — command-line skills for navigating, processing, and analyzing biological data.
View on GitHub → Workshop Intro to Python for BioinformaticsA Carpentries-style introduction to Python for non-programmers, using biological data as the learning context throughout.
View on GitHub →Work Together
I'm open to collaboration and consulting across a range of bioinformatics and computational biology work.
Design and build reproducible multi-omics pipelines on HPC infrastructure.
Single-cell, spatial, genomics, and proteomics analysis support.
Workshops, training sessions, and talks on bioinformatics tools and workflows.
Partnering with labs and institutions on computational biology projects.
Get in touch at jean-paul.courneya@som.umaryland.edu