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samuelbharti/README.md

I work on cancer genomics and build whatever the science needs: apps, pipelines, agents, sometimes a faster R.

Now

  • Software Engineering Intern, Shiny team @ Posit (Summer 2026), building Shiny apps for life sciences.
  • Doctoral Researcher in Bioinformatics @ UAB, working on NF1 and associated cancers.
  • Previously: Human Genetics (gRED) intern @ Genentech (Summer 2025).
  • Publications in computational biology and genomics (ORCID).

Shiny Bioinformatics Showcase: a gallery of 10 apps and 5 packages I built, live on Posit Connect Cloud. Source GitHub

Learn more in my talk here: genomes-prompts-shiny

Projects, apps, packages, and teaching: samuelbharti.com/work

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  1. biobouncer biobouncer Public

    Best way to validate gene symbols, ontology terms, variant formats, and other biological database IDs in apps and pipelines

    Python 4

  2. biocohort biocohort Public

    Keeps the subjects, samples, and analysis outputs of a genomics (or any omics) study in one validated R object.

    R 3

  3. bioclients bioclients Public

    Look up genes, variants and proteins from R. One consistent way to call gnomAD, ClinVar, UniProt, Ensembl and other biological databases, instead of writing a client for each one.

    R 2

  4. RShiny_template RShiny_template Public template

    An R Shiny App template.

    R 4

  5. posit-dev/shinyreact posit-dev/shinyreact Public

    Shiny UI infrastructure for React-based component rendering

    TypeScript 14 3

  6. ropensci/rentrez ropensci/rentrez Public

    talk with NCBI entrez using R

    R 221 41