About

I’m a Bioinformatics Research Engineer working at the intersection of computational biology, data science, and open science infrastructure. My work is driven by a simple belief: research should be accessible to everyone, and data should be easy to understand.

With a background that spans wet-lab biology, computational analysis, and software engineering, I bring a rare end-to-end perspective — I understand both where the data comes from and how to build the tools that make sense of it.

Career

  • 2020 → Present
    Bioinformatics Research Engineer
    Remote / Collaborative

    Working with global teams to develop open bioinformatics tools and workflows. Focus on FAIR data principles, reproducible research infrastructure, and democratizing access to life science research.

  • 2018 – 2020
    Research Fellow
    IISER Mohali — Plant Developmental Biology Lab

    Studied Gene Regulatory Networks in Arabidopsis thaliana (Shoot Apical Meristem). Developed computational tools for transcriptomic analysis and interactive visualization of multi-stress gene expression data.

  • 2015 – 2017
    M.Sc. Bioinformatics
    Pondicherry University

    Focused on computational approaches to biological data analysis. Developed a strong foundation in genomics, sequence analysis, and structural bioinformatics.

  • Training
    Bioinformatics Training
    BICPU (Bioinformatics Centre, Pondicherry University)

    Hands-on training in bioinformatics databases, tools, and computational biology workflows.

Research Interests

I use data science platforms as a medium to answer biological questions. My broad research interests include:

  • Genomics & Systems Biology — understanding how genes interact and regulate each other at a systems level
  • Single-cell Transcriptomics — resolving cell-type-specific expression patterns and developmental trajectories
  • Deep Learning in Biology — applying neural networks to sequence analysis, structure prediction, and phenotype modeling
ORCID ORCID — orcid.org/0000-0001-5010-9539

Skills & Tools

Languages
R Python Bash HTML/CSS
Bioinformatics
Bioconductor DESeq2 Seurat STAR BWA GATK ggplot2
Engineering & Workflows
Snakemake Nextflow Docker Singularity Git GitHub Actions
Web & Visualization
Shiny R Markdown Plotly Hugo OpenCPU

Engineering Interests

Beyond research, I build software that makes science easier:

  • Scientific Workflows — reproducible, scalable, containerized pipelines
  • Interactive Applications — Shiny apps and web tools that put data in researchers’ hands
  • Data Visualization — turning complex multi-dimensional biological datasets into interpretable charts and interfaces

I’m a strong advocate for FAIR principles — every tool I build aims to be Findable, Accessible, Interoperable, and Reusable.