I work across bioinformatics, scientific software, and applied machine learning. I build Python and R workflows for genomics, image analysis, and automated instrument acquisition, with an emphasis on reproducibility, quality control, and quantitative validation.
Researcher I working in bioinformatics at the University of Tennessee Health Science Center, and Co-Founder / Scientific Data, Software & Applied ML Lead at Onteko.
- Scientific software and automation — instrument integration, automated acquisition, data processing, and interactive research tools.
- Bioinformatics and image analysis — RNA-seq, viral genomics, microscopy segmentation, and quantitative evaluation.
- Reproducible data and applied ML — Python/R pipelines, SLURM/HPC, statistical modeling, automated tests, and traceable results.
ProLIBSpector — public edition — Python software for automated LIBS spectroscopy acquisition, spectral processing, and spatial mapping, with simulated devices for reproducible examples. The public edition demonstrates selected parts of the system; ongoing development is maintained in a private implementation.
Image segmentation and validation — Xenium microscopy — Evaluated pretrained Cellpose-SAM with tiled GPU inference and quantitative checks of RNA assignment. Retained the instrument segmentation when expanded masks increased off-type signal. Images, evaluation, and recorded GPU timings are shown in the portfolio.
Lab results browser with local AI assistance — R/Shiny software connecting RNA-seq results, gene networks, and animal-study outcomes, with an optional local assistant. The portfolio includes selected de-identified screenshots, architecture, and a 20-question case evaluation. Code is private because it works with unpublished lab data; happy to walk through the architecture and implementation.
Viral intrahost variant workflow — Containerized Nextflow DSL2 workflow for viral variant calling, consensus generation, selection analysis, and haplotype reconstruction, with automated tests and documented local/HPC execution.
- Tiling amplicon primer design — Python CLI for primer design, QC, and multiplex pooling.
- Virology and genomics templates — Reusable R/Python analyses with synthetic example data and a Quarto gallery.
- Akodon genome assembly — Assembly and annotation workflow on SLURM.
- Alphavirus RNA-seq wrapper — Configuration and preflight checks for nf-core/rnaseq.
M.S. Bioinformatics, Brandeis University (2024) · B.S. Biology, University of Memphis (2021).
Open to roles in scientific software, bioinformatics, scientific data analysis, automation, and applied ML.
See individual repositories for licensing.