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samibahig/README.md

👋 Hi, I'm Sami Bahig

Data Scientist | Healthcare AI | Medicine · Pharmacology · Oncology

🏥 Medical background — Medicine, Pharmacology, Oncology & Family Medicine/ER
🧠 AI expertise — Clincal Workflow, NLP, Computer Vision, Pharmacovigilance, Medical Imaging
🔬 Research experience — MILA (Université de Montréal) & CRCHUM
⚙️ Approach — Systems Thinking & Clinical Governance applied to Healthcare AI
🔒 Ethics — Responsible AI · IEEE AI Ethics · Clinical data privacy (Loi 25 · HIPAA) · CHDA · AI safety in high-stakes medical environments 🌍 Languages — French · English · Arabic

🚀 Featured Projects

Project Description Stack
FAERS 2025 Big Data analysis of 7.8M FDA adverse event reports — Signal detection & NLP Python · Plotly · NLP
TDM Protocol Classification Automatic CT scan protocol prediction from handwritten radiology forms — OCR + CamemBERT PyTorch · HuggingFace · OCR
RAG Chatbot Retrieval-Augmented Generation chatbot Python · RAG

🛠️ Skills

Python PyTorch HuggingFace scikit-learn Pandas Plotly Transformers NumPy Jupyter Git

📫 Contact

LinkedIn Email

🌍 Open to collaboration on Healthcare AI & Humanitarian projects — Canada & International

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  1. faers-2025-pharmacovigilance faers-2025-pharmacovigilance Public

    Big Data analysis of 7.8M FDA FAERS adverse event reports — Signal detection, NLP, Clustering | Python · Plotly

    Jupyter Notebook

  2. RecoverProject RecoverProject Public

    ML analysis of metabolomic & proteomic data for Long COVID prediction — Université Laval / Labo Corbeil

    Jupyter Notebook