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pwwongaa/README.md

👋 Hi, I’m Danny

Bioinformatician, bioinformatics engineer, data engineer specialising in robust pipelines for clinical genomics and multi-omics. I work with NGS & ONT sequencing, automating workflows on Linux HPC and the Cloud.

This GitHub so far is for developing my personal idea and making some fun tools

🧬 What I Do

  • A Bioinformatics Developer driven by passion and purpose
  • 🏥 Bioinformatician at hospital (WGS, diagnostics)
  • 🧪 Former Associate Scientist (R&D)
  • 🎓 MSc in Bioinformatics (UK)

🛠️ Tech I Use

Programming Languages: Python, R, Julia, C++, Java
Tools: Pandas, Biopython, Bash, Git, Conda/Mamba, uv, Polars Web Dev: HTML, CSS, JS, React (Vite), Flask
Infra & DevOps: Docker, PostgreSQL, SQLAlchemy, Nextflow
Cloud & Systems: AWS EC2, SLURM HPC, Ubuntu/macOS
ML & AI: scikit-learn, PyTorch, Hugging Face, Keras

🌱 Currently Exploring & Active Learning

Genomics & Bioinformatics

  • Clinical WGS & variant interpretation
  • Multi-omics: transcriptomics, epigenomics, proteomics
  • Recent: precision oncology, pharmacogenomics

Software & Data Engineering

  • Full-stack dev (Flask, React, FastAPI)
  • CI/CD, Agile, reproducible workflows
  • Cloud/HPC deployment, ETL pipelines
  • Nextflow, Docker, Airflow, Kafka, Spark

Machine Learning

  • Applied ML on omics data (KNN, PCA, etc.)
  • PyTorch on Mac MPS / NVIDIA GPU
  • Hugging Face: LLMs, NLP, diffusion models
  • Kaggle projects, CoLab pipelines

Current Personal Project working on

  • 🌐 Personal Website – portfolio, blog, tech stack & CV - practice Next.js and Express.js
  • 🧬 Transcriptomics Expression Table WebApp (transp-web_app) - React.js + FastAPI
  • 🤖 Some other AI/ML Web Platform - NLP/RAG/LLM/Gen AI practice for building all in one Web + AI Tool platform

📫 Contact

Feel free to reach out for collaborations, ideas, or just to connect:
🔗 GitHub – Projects & CVs

Life is amazing — even more so with data.

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