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AyehBlk/README.md

πŸ¦– They said the dinosaurs were gone. They were wrong.

Typing SVG

πŸ¦– "Dinosaurs ruled for 165 million years β€” not because they were the strongest, but because they adapted. Their extinction reminds us: no legacy survives without openness to change. That's why I build tools that are open, free, and built to evolve."

🧬 whoami

class AyehBolouki:
    def __init__(self):
        self.name = "Ayeh Bolouki"
        self.title = "Computational Biologist & Bioinformatician"
        self.base = "Belgium πŸ‡§πŸ‡ͺ"
        self.motto = "Making free science for everybody around the world 🌍"
        self.background = {
            "PhD": "Clinical Biochemistry",
            "postdoc_years": 6,
            "papers": 11,  # 7 first-author
            "dual_expertise": ["wet-lab 🧫", "dry-lab πŸ’»"]
        }

    def research_domains(self):
        return [
            "🧠 Neurodegeneration (Tauopathy, Alzheimer's)",
            "πŸ”₯ NF-ΞΊB Signal Transduction",
            "🧬 Epigenetics & Multi-omics Integration",
            "πŸ”¬ Structural Biology & Protein Interactions",
            "πŸ«€ NAFLD / Liver Biology"
        ]

    def philosophy(self):
        return """
        Dinosaurs didn't vanish because they were weak β€”
        they vanished because they couldn't adapt.
        I build tools for my own research and for every
        researcher who refuses to go extinct.
        """

πŸ¦• The Mesozoic Toolkit

I name my tools after prehistoric creatures β€” because good bioinformatics should have teeth.

πŸ¦– RAPTOR

RNA-seq Analysis Pipeline
Testing & Optimization Resource




10-module interactive dashboard
for RNA-seq from raw reads to results

πŸ¦… PTERO

Proteomics Tool for Exploration,
Refinement & Organization




New data container & infrastructure
for handling complex 4D MS/MS data

βš’οΈ BondForge

Protein Interaction
Analysis Toolkit




20+ interaction types detected
via custom algorithms & PyMOL
πŸ” More Open-Source Projects
Project Description
practical-MS-MS-PLS-DA-analysis-pipeline PLS-DA optimized for small sample proteomics/metabolomics
PLSDA-MSMS-Analysis Practical MS/MS analysis pipeline with statistical classification
Complete Protein-Protein Interaction Workflow End-to-end PPI workflow: AlphaFold3, PyMOL, Arpeggio, validation

🧰 Tech Stack


Nextflow Pandas Scikit-learn PyMOL AlphaFold Cytoscape Matplotlib Zarr

πŸ—ΊοΈ Research Journey

graph LR
    A["πŸŽ“ PhD<br>Embryogenesis<br><i>From two cells to blastocyst β€”<br>the first arrival to this world</i>"] --> B["🧠 Postdoc<br>Brain, Immune System<br>Multi-omics & Structural Biology"]
    B --> C["😀 The Frustration<br>Broken tools, paywalled software,<br>pipelines that don't exist yet"]
    C --> D["πŸ¦– The Fix<br>If the tools don't exist,<br>I'll build them myself"]
    D --> E["🌍 Open Science<br>RAPTOR · PTERO · BondForge<br>Free for every researcher"]
    
    style A fill:#1a1a2e,stroke:#2E8B57,color:#fff
    style B fill:#1a1a2e,stroke:#2E8B57,color:#fff
    style C fill:#1a1a2e,stroke:#e74c3c,color:#fff
    style D fill:#1a1a2e,stroke:#2E8B57,color:#fff
    style E fill:#2E8B57,stroke:#2E8B57,color:#fff
Loading

πŸ“Š GitHub Stats

πŸ“« Let's Connect

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  1. RAPTOR RAPTOR Public

    RNA-seq Analysis Pipeline Testing and Optimization Resource - Intelligent pipeline selection and comprehensive benchmarking.

    Python 19

  2. practical-MS-MS-PLS-DA-analysis-pipeline practical-MS-MS-PLS-DA-analysis-pipeline Public

    Practical PLS-DA analysis pipeline for MS/MS proteomics/metabolomics data, optimized for small sample sizes.

    R 1

  3. BondForge BondForge Public

    BondForge is a comprehensive, production-ready toolkit for analyzing 20 types of chemical interactions in protein structures.

    Python 4 1

  4. Complete-Protein-Protein-Interaction-Analysis-Workflow Complete-Protein-Protein-Interaction-Analysis-Workflow Public

    A complete journey through structure prediction, visualization, interaction analysis, and validation

    Shell 1

  5. PLSDA-MSMS-Analysis PLSDA-MSMS-Analysis Public

    PLS-DA implementation for MS/MS metabolomics/proteomics data analysis

    R 1