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keziatesiman/README.md

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About Me

Hi! I’m Kezia Irene, a Bioinformatics Data Scientist passionate about transforming population genomics data into actionable precision medicine insights.

  • 🧠 Focused on Polygenic Risk Scores (PRS) for cardiometabolic diseases — obesity, diabetes, and hypertension
  • 📊 Experienced in GWAS, genetic epidemiology, and predictive modeling
  • 🌍 Dedicated to improving health equity through diverse population studies
  • 💬 Love discussing genomics, biostatistics, and data visualization

🧰 Tools & Technologies

R Python Jupyter Nextflow Git Docker AWS Linux

Current Focus

📈 Developing robust PRS pipelines for cardiometabolic traits
🧩 Integrating genomic, phenotypic, and environmental data
🧪 Exploring multi-omics and AI-driven risk prediction

Pinned Loading

  1. Partitioned-PRS-using-Vertex-AI Partitioned-PRS-using-Vertex-AI Public

    Jupyter Notebook 2

  2. harvard_medical_news_db harvard_medical_news_db Public

    HTML 1

  3. spoonful-of-goodness spoonful-of-goodness Public

    JavaScript

  4. bmi706-final_project bmi706-final_project Public

    Visualization for Clinical Trial Data

    Jupyter Notebook 1

  5. Extractive-Summarization-of-a-News-Corpus-Using-BERT Extractive-Summarization-of-a-News-Corpus-Using-BERT Public

    Forked from gslicht/Extractive-Summarization-of-a-News-Corpus-Using-BERT

    Jupyter Notebook