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@nf-core @MartinetLab @immception-lab @bioinfoPurpan

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rekren/README.md

Hi there, I’m Rüçhan 👋

Bioinformatics Data Scientist | Multi‑Omics Integrator | Provider of Data‑Driven Insights

🧠 Passionate about making biology computable & medicine more precise.


👨‍🔬 About Me

With over 7 years of experience in bioinformatics and biomedical data science, I specialize in turning high-dimensional omics datasets into actionable insights for translational research and therapeutic development.

My focus areas include:
🧬 Single-cell transcriptomics
🧩 Multi‑omics data integration
🧪 Reproducible computational workflows

I’m driven by the pursuit of uncovering novel pathways, biomarkers, and therapeutic targets—particularly in the context of precision medicine and immune-related diseases.


🧬 Core Technical Skills

💻 Programming & Data Analysis

R Python Linux Bash

🔬 Bioinformatics Expertise

  • Omics Analysis: scRNA‑seq, bulk RNA-seq, NGS, MS-based proteomics, Olink, spatial transcriptomics
  • Reproducible Workflows:
    Nextflow nf-core
  • Pathway Analysis: Functional enrichment, GSEA, ORA, topology-aware integration

📊 Data Visualization & Scientific Communication

ggplot2 RShiny webR

  • Building interactive dashboards for exploratory data analysis
  • Creating dynamic visualizations of multi‑dimensional biological data
  • Delivering reports as clean and interpretable HTML/PDF docs (example)
  • 💬 Actively collaborating with clinicians, immunologists & fellow data scientists across teams and consortia

☁️ Computational Infrastructure

Mamba Git Docker Azure

  • Designed scalable workflows on local workstation & HPC systems
  • Embraced containerization & CI/CD for portability and reproducibility

🚀 Featured Projects

  • 🧪 Developed modular pipelines for scRNA‑seq, epigenomics, and proteomics, accelerating immune dysfunction research in chronic diseases
  • 🗺️ Curated an immune cell atlas, scaling legacy datasets >20× while standardizing annotation
  • 🌐 Built a web‑based visualization app for scRNA-seq using RShiny + webR, bridging exploratory analysis with interdisciplinary teamwork

🏆 Publications & Online Profiles


🌱 Fun Fact

When I’m not deciphering transcriptional landscapes or benchmarking single-cell workflows, you’ll likely find me deep in story-driven RPGs. I love exploring lore-rich universes, building unorthodox character classes, and sometimes -just for fun- embracing the dark side 🐉⚔️🧙‍♂️🦹‍♂️.

Favorite alignment: Chaotic Good.
Favorite class: Necromancer - I summon insights from long-buried datasets, turning forgotten data into an army of the undead that powers new discoveries.


📊 GitHub Stats

rekren's GitHub stats Top Languages

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  1. MartinetLab/NKcell_dysfunction_MM_Blood24 MartinetLab/NKcell_dysfunction_MM_Blood24 Public

    This repository contains the scripts yielding to the processed scRNAseq data of NK cells in Multiple Myeloma patients. The study utilizing this dataset is published in https://doi.org/10.1182/blood…

    R 1 1

  2. bioinfoPurpan/Rbasics bioinfoPurpan/Rbasics Public

    A workshop for mastering the fundamentals of R

    1

  3. TNBC TNBC Public

    MSc Thesis: Transcriptomics-based investigation of TNBC cell lines

    R 2

  4. artificial-intelligence-foundations-neural-networks-4381282 artificial-intelligence-foundations-neural-networks-4381282 Public

    Forked from LinkedInLearning/artificial-intelligence-foundations-neural-networks-4381282

    This is a code repository for the LinkedIn Learning course Artificial Intelligence Foundations: Neural Networks.

    Jupyter Notebook