Shashwat Sahay
Lead Computational Biologist
Berlin Metropolitan Area Germany
Summary
👤
Senior🎓
Top SchoolShashwat Sahay is a Lead Computational Biologist based in the Berlin area with a decade of experience applying bioinformatics to cancer genomics and tumour heterogeneity. He leads development of open-source pipelines for UMI-based NGS data and drives deconvolution efforts to dissect lymphoma and spatial tumour heterogeneity, translating complex sequencing data into biological insight. His background spans method development (methylome deconvolution, MeDeCom/FactorViz) and applied toxicology/QSAR modelling, giving him a rare blend of statistical, computational and domain expertise. Comfortable moving projects from research to reusable tooling, he combines hands-on pipeline engineering with a strong publication-driven research mindset.
10 years of coding experience
2 years of employment as a software developer
Vellore Institute of TechnologyMaster's degree, Bioinformatics, Master's degree, Bioinformatics at Universität des Saarlandes
English, Hindi, German
Github Skills (58)
sequencing9
genome8
genomics8
bioinformatics8
snakemake8
nim-lang7
workflow-management7
heterogeneous6
nextflow6
decomposition6
nf-core5
depth5
pypi5
pipeline5
typescript5
Programming languages (14)
Github contributions (5)
HiDiHlabs/umi_alignment
May 2024 - Aug 2025
A snakemake pipeline for aligning UMI based WGS data and QC metrics associated with it
Contributions:2 releases, 5 PRs, 10 pushes in 1 year 3 months
snakemake
HiDiHlabs/ssam-lite-server
Sep 2021 - Oct 2021
Contributions:1 release, 5 PRs, 12 pushes in 13 days
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