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roseemaryy/README.md

Typing SVG


🧬 About Me

rosemary = {
    "role"        : "Bioinformatics ML Engineer",
    "focus"       : ["Cancer Genomics", "Clinical AI", "Precision Medicine"],
    "domains"     : ["Oncology", "Pharmacogenomics", "scRNA-seq", "Survival Analysis"],
    "published"   : "ORCiD · GBM Risk Stratification & WGS Variant Calling",
    "building"    : "Production-grade genomics pipelines for clinical decision-making",
}

Bridging the gap between raw sequencing data and real clinical outcomes - one pipeline at a time.

🛠️ Tech Stack

🧬 Bioinformatics & Genomics

Python R BioPython Scanpy Jupyter

🤖 Machine Learning & Deep Learning

TensorFlow Keras scikit-learn XGBoost Hugging Face

⚙️ MLOps & Infrastructure

Docker Kubernetes MLflow FastAPI Terraform AWS

📊 Monitoring & Data

Prometheus Grafana Redis Pandas NumPy

🔧 Dev Tools

Git GitHub VS Code Azure DevOps DVC

📚 Research

GBM Survival Analysis — Risk Stratification & WGS Variant Calling Pipeline

Applied Cox proportional hazards modelling and Kaplan-Meier survival analysis to Glioblastoma Multiforme patient data alongside a whole-genome sequencing somatic variant calling pipeline.

📄 Published on ORCiD · 0009-0001-3303-2573

"Biology generates the questions. Machine learning finds the answers."

Pinned Loading

  1. cancer-comorbidity cancer-comorbidity Public

    Python

  2. chemo-damage chemo-damage Public

    Python

  3. dna-damage dna-damage Public

    Python

  4. gbm-survival-analysis gbm-survival-analysis Public

    Jupyter Notebook

  5. genomics-variant-pipeline genomics-variant-pipeline Public

    Nextflow

  6. scRNA-cell-classifier scRNA-cell-classifier Public

    Python