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@OxWearables @JacobsUniversitySELab2016S @deep-reinforcement-learning-book

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angerhang/README.md

Hi, I’m @angerhang.

I work at the intersection of wearable sensing and machine learning to build systems that understand human health at scale.

🌱 I'm currently learning hardware and genetics

Fun facts:

  • Built the first movement foundation model for wearables (before Apple and Google).
  • Published across sensing, machine learning, medicine, genetics, and ethics.
  • Used to journal in English; now writing in Chinese so I don’t lose it.

Intersts:

  • Self-supervised learning on large wearable datasets
  • Multimodal representation learning
  • Turning raw sensor streams into meaningful health signals

I believe the future of healthcare is continuous, personalized, and data-driven.

If you’re building ambitious projects in wearables, mobile health, or large-scale ML — I’d love to collaborate.

📫 angerhangy@gmail.com

angerhang

Python PyTorch LaTeX Inkscape Notion

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  1. OxWearables/ssl-wearables OxWearables/ssl-wearables Public

    Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)

    Jupyter Notebook 147 40

  2. OxWearables/biobankAccelerometerAnalysis OxWearables/biobankAccelerometerAnalysis Public

    Extracting meaningful health information from large accelerometer datasets

    Python 238 72

  3. OxWearables/asleep OxWearables/asleep Public

    asleep: a sleep classifier for wearable sensor data using machine learning

    Python 47 13