Portrait of Priyansh Srivastava

Bioinformatics · Engineering

Priyansh Srivastava

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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Stack

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Experience

Senior Informatics Scientist · AstraZeneca

May 2025 - Present

Leading informatics work across translational and clinical data settings, with a focus on scalable analysis workflows and robust scientific software.

Bioinformatician · AnuBio

Jan 2025 - Mar 2025

Built Azure-ready bioinformatics infrastructure and modular Nextflow pipelines for scRNA-seq preprocessing and benchmarking.

Visiting Bioinformatician · Imagine Institute

Sep 2024 - Oct 2024

Applied PCA/MCA and GAM-based simulation approaches for pathway-level interpretation of high-dimensional scRNA-seq data.

Bioinformatician · BioBam

Nov 2021 - Nov 2024

Contributed to OmicsBox product releases, deployed cloud analysis environments, and delivered technical documentation for users.

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Education

Ph.D. in Bioinformatics

2022 - Present · Universitat de València

Thesis: Computational methods for functional analysis of scRNA-seq data in trajectory settings.

M.Sc. in Computational Genomics

2020 - 2021 · University of Galway

Focus: data visualization, probabilistic modeling, and microbiome network inference.

B.Tech. in Bioinformatics

2016 - 2020 · Amity University

Foundation in computational biology, algorithms, and applied machine learning for biological systems.

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Projects

ScMaSigPro

Differential expression along pseudotime and branches using polynomial GLMs for single-cell trajectories.

Source

Pathway Activity Visualization

PCA-driven metagene interpretation to capture pathway-level behavior across cellular progression.

Source

Chernobyl Network Pipeline

Nextflow pipeline evaluating clustering thresholds and microbial co-occurrence network changes.

Source

CUT&RUN Analysis

Reproducible Snakemake workflow for CUT&RUN sequencing analysis on Illumina NovaSeq data.

Source

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Contact

Open to research and engineering collaborations in computational genomics, data infrastructure, and scientific software.

priyansh@metapriyansh.com