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Achievement: Pair Extraordinairex2Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx3Achievement: Starstruck

Achievements

Achievement: Pair Extraordinairex2Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx3Achievement: Starstruck

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@msk-access

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rhshah/README.md

Hi there, I'm Ronak Shah 👋

Senior Manager, Computational Biology @ MSKCC

Executive MBA Candidate, Class of 2026

I lead the bioinformatics analysis of circulating tumor DNA (ctDNA) and liquid biopsy applications at Memorial Sloan Kettering Cancer Center. My team develops and operates high-throughput NGS pipelines (MSK-ACCESS, CMO-CH) using cloud-native infrastructure.

🛠 Languages & Infrastructure

Python R Nextflow CWL Databricks Docker

🔭 Current Focus

  • Leadership: Transitioning organizational workflows to Nextflow (nf-core) and Databricks platforms.
  • Research: Identifying genetic mutations for targeted cancer therapies and preventing cancer spread.
  • Education: Pursuing an Executive MBA at Rutgers Business School.

📊 GitHub Stats

Ronak's Github Metrics

🔗 Connect & Publications

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  1. iAnnotateSV iAnnotateSV Public

    iAnnotateSV is a Python library and command-line software toolkit to annotate and visualize structural variants detected from Next Generation DNA sequencing data.

    Python 16 12

  2. iCallSV iCallSV Public

    A Framework to call Structural Variants from NGS based datasets

    Python 22 10

  3. IMPACT-Pipeline IMPACT-Pipeline Public

    Framework to process and call somatic variation from NGS dataset generated using MSK-IMPACT assay

    Perl 57 8

  4. IMPACT-SV IMPACT-SV Public

    Detection of Structural Variants Using Delly and Annotation using dRanger

    Perl 7 2

  5. msk-access/krewlyzer msk-access/krewlyzer Public

    Feature extraction tools for circulating tumor DNA from GRCh37 aligned BAM files

    Python 1