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Sangram Keshari Sahu

Bioinformatics Research Engineer

I help make genomics data understandable — building tools, workflows, and interactive apps grounded in FAIR data principles and open science. If biology has a question and data has an answer, I build the bridge.

Where Bio Meets Code

I sit at the intersection of biology, data science, and software engineering — building things that make research more open and reproducible.

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Research

Applying computational methods to answer biological questions, from gene regulatory networks to single-cell dynamics.

Genomics Single-cell Systems Biology Deep Learning
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Engineering

Building scientific workflows, interactive web apps, and data visualization tools that the biological community can actually use.

Snakemake Nextflow Shiny Docker
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Open Science

Committed to democratizing life science research through FAIR data principles — making findings Findable, Accessible, Interoperable, and Reusable.

FAIR Principles Open Access Reproducibility

Featured Projects

A few things I've built — R packages, Shiny apps, and workflow templates for the bioinformatics community.

EcoGEx Active

Explore gene expression dynamics across different strains and geographical locations. R package + Shiny web app for ecological genomics.

Sig-Bio-Shiny Active

Do significant biology on a set of genes — functional enrichment, pathway analysis, and more in an intuitive Shiny interface.

Codingene DSL Templates Open Source

Base templates for Snakemake and Nextflow workflows — a foundation for reproducible bioinformatics pipelines with best practices baked in.

learn-R Teaching

R programming for biologists who are new to coding. Practical, biology-first examples that make the language approachable for researchers.

Sangram Keshari Sahu

The Story So Far

I grew up curious about how things work — that curiosity eventually landed me in bioinformatics, where I completed my M.Sc. at Pondicherry University and trained at BICPU.

From there I worked as a Research Fellow at IISER Mohali in the Plant Developmental Biology lab, digging into Gene Regulatory Networks in Arabidopsis thaliana. That experience taught me that the best research is reproducible, well-documented, and shared openly.

Now I collaborate with teams around the world to build tools and infrastructure that democratize access to life science research — making genomics data easier to understand and use.

ORCID ORCID: 0000-0001-5010-9539

Let's Connect

Whether it's a collaboration, a question about bioinformatics, or just to say hi — I'm always happy to chat.