Hello, I'm

BhuvaN

MSc Biotechnology · BSc Data Science

FIG. 1  —  RESEARCH DOMAIN
Molecular biology foundation. Computational depth in transcriptomics, RNA-seq pipeline infrastructure, and functional genomics.
Point size reflects depth of independent use across projects.
DEPTH OF USE →
WET LABBIOINFORMATICSPIPELINE INFRA
wet lab computation● size = project depth
O. mykiss RNA-seq  |  containerised Nextflow pipeline  |  ML drug screening
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About me

A little about me

I'm a master's student in Biotechnology at Offenburg University and Data Science at IIT Madras, with a background spanning wet lab research, clinical sample processing, and computational analysis. My work sits at the intersection of molecular biology and data engineering — building pipelines that turn raw sequencing data into interpretable biology.

Reproducibility in transcriptomics is something I care about seriously. Most of my projects are structured around parameterised, containerised workflows — where swapping a dataset or threshold produces a new result set without rewriting anything. That principle runs through everything from my Nextflow DSL2 pipeline to my DESeq2 analysis scripts.

I'm currently seeking working student or HiWi positions in bioinformatics or R&D in Germany. I work well in cross-functional teams and am comfortable moving between the bench and the terminal. Feel free to reach out.

3+
Years of research experience
5+
Projects built
15+
Tools & technologies

Tools & technologies

PythonRNextflowRNA-seqDESeq2DockerAWSscikit-learnSQLBashGitLinux

My work

Projects

A selection of things I've built.

Zearalenone Toxicity — O. mykiss RNA-seq

2024

End-to-end transcriptomics analysis of zearalenone exposure in rainbow trout. Covers de novo assembly (89.3% BUSCO), Salmon quantification, DESeq2 differential expression with parameterised thresholds, and ongoing functional enrichment with clusterProfiler. Built for reproducibility — one pipeline, any dataset.

RDESeq2clusterProfilerPython+2

Open-source De Novo RNA-seq Pipeline

2024

A fully containerised Nextflow DSL2 pipeline with 5 modular subflows — QC through Trinity assembly, Salmon quantification, TransDecoder/DIAMOND annotation, and result integration. Validated against the Pasilla benchmark dataset. ARM64 and x86_64 compatible; runs locally, on HPC, or AWS Batch.

NextflowDockerAWSPython+2

ML Drug Candidate Screening

2023

Random Forest classifiers trained on molecular fingerprints derived from SMILES representations using PubChem and ChEMBL data. Descriptors extracted via PaDEL-Descriptor; feature selection and model evaluation with scikit-learn.

Pythonscikit-learnpandasmatplotlib+1

Placement Portal Application (PPA V2)

2025

Full-stack web application built for IIT Madras. Features role-based access, async job scheduling with Celery Beat, Redis caching, and a Vue.js frontend. Includes REST API design, background task orchestration, and deployment configuration.

FlaskVue.jsSQLAlchemyRedis+2

Writing

Blog

Thoughts on web development, bioinformatics, life, and building things.