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hwcmu/README.md

Hi, I'm Hairong

Data Analyst at the University of Pittsburgh

I turn messy clinical and research data into practical models, reproducible workflows, and decisions people can actually use.

My work sits at the intersection of clinical AI, biostatistics, real-world evidence, and research workflow design. I started in environmental systems and sustainability analytics, which gave me a useful habit: follow the data, respect the mechanism, and be suspicious of overly neat stories.

These days, I am especially interested in:

  • Clinical AI: EHR prediction, clinical NLP, model evaluation, and deployment-minded analytics
  • Research workflows: Table One, statistical analysis plans, reviewer responses, literature synthesis, and AI-assisted scientific work
  • Systems analytics: complex data problems in healthcare, environment, energy, and sustainability
  • Readable science: turning technical work into clear notes, papers, and tools

Start Here

Website · Systems Analytics · Notes · Papers · About

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  1. EKG-prediction EKG-prediction Public

    Reproducibility repository for the Journal of Personalized Medicine article on predicting EKG use in emergency care.

    Jupyter Notebook

  2. IVF-prediction IVF-prediction Public

    Reproducibility repository for the PeerJ Computer Science article on multimodal prediction of IV fluid utilization in emergency care.

    Jupyter Notebook

  3. stock-based-power-transition-monitoring stock-based-power-transition-monitoring Public

    Reproducibility repository for the published Energy, Ecology and Environment article on stock-based monitoring of fossil persistence and renewable expansion in global power systems.

    Jupyter Notebook