Summary
Shashwat 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 Technology
Master's degree, Bioinformatics, Master's degree, Bioinformatics at Universität des Saarlandes
English, Hindi, German