Senior Informatics Scientist · AstraZeneca
Leading informatics work across translational and clinical data settings, with a focus on scalable analysis workflows and robust scientific software.
Bioinformatics · Engineering
Hi, I’m Priyansh, an engineer and researcher currently based in
Barcelona.
I build software that help teams work with complex data without the
usual friction. My background in bioinformatics taught me to expect
noisy inputs, validate carefully, and design systems that scale.
I keep things simple, maintainable, and easy to operate.
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Leading informatics work across translational and clinical data settings, with a focus on scalable analysis workflows and robust scientific software.
Built Azure-ready bioinformatics infrastructure and modular Nextflow pipelines for scRNA-seq preprocessing and benchmarking.
Applied PCA/MCA and GAM-based simulation approaches for pathway-level interpretation of high-dimensional scRNA-seq data.
Contributed to OmicsBox product releases, deployed cloud analysis environments, and delivered technical documentation for users.
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Thesis: Computational methods for functional analysis of scRNA-seq data in trajectory settings.
Focus: data visualization, probabilistic modeling, and microbiome network inference.
Foundation in computational biology, algorithms, and applied machine learning for biological systems.
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Differential expression along pseudotime and branches using polynomial GLMs for single-cell trajectories.
SourcePCA-driven metagene interpretation to capture pathway-level behavior across cellular progression.
SourceNextflow pipeline evaluating clustering thresholds and microbial co-occurrence network changes.
SourceReproducible Snakemake workflow for CUT&RUN sequencing analysis on Illumina NovaSeq data.
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Open to research and engineering collaborations in computational genomics, data infrastructure, and scientific software.
priyansh@metapriyansh.com