01 — about

About

I’m a data scientist and bioinformatician working at the intersection of genomics, machine learning, and open-source software.

I build reproducible analysis pipelines and interactive tools that help biologists ask bigger questions of their data — from single-cell transcriptomics to large-scale sequence analysis.

My work spans the full stack of computational biology: wrangling raw sequencing output, designing statistical models, and shipping the web apps and R/Bioconductor packages that put those methods in researchers’ hands.

When I’m not in a terminal, I’m usually writing about reproducible science or contributing to the open-source bioinformatics ecosystem.

// focus

  • Genomics
  • Single-cell
  • Machine learning
  • R / Bioconductor
  • Data viz
  • Web apps

// experience

  • 2021 — Present

    Bioinformatician / J. Craig Venter Institute

    Develop genomics analysis pipelines and interactive visualization tools for collaborative research projects.

  • 2018 — 2021

    Research Assistant / University (placeholder)

    Built statistical models and reproducible workflows for high-throughput sequencing studies.