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Achievements

Achievement: QuickdrawAchievement: Pair Extraordinairex3Achievement: Pull Sharkx2Achievement: YOLO

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@AshleyLab

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NarayanSchuetz/README.md

Swiss educated and Stanford trained AI and digital health researcher with 10+ years of experience building AI and software systems for health applications across academia and industry, including 2 years as technical lead, and 6+ years specializing in remote health sensing leveraging large-scale (multi-terabyte) datasets. Currently a postdoctoral researcher at Stanford University working on wearable foundation models and video agents. Track record includes 30+ published research articles (700+ citations), EU and US patent filings, and USD 300,000+ in competitive awards and fellowships.

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  1. AshleyLab/OpenMHC AshleyLab/OpenMHC Public

    Python 72 9

  2. SpectralLayersPyTorch SpectralLayersPyTorch Public

    Trainable linear spectral layers for PyTorch

    Python 2 2

  3. DeepDIVA DeepDIVA Public

    Forked from DIVA-DIA/DeepDIVA

    Python Framework for Reproducible Deep Learning Experiments

    Python 1

  4. biobankAccelerometerAnalysis biobankAccelerometerAnalysis Public

    Forked from OxWearables/biobankAccelerometerAnalysis

    Extracting meaningful health information from large accelerometer datasets

    Java

  5. edf2parquet edf2parquet Public

    Simple utility package to convert EDF/EDF+ files into Apache Parquet format.

    Jupyter Notebook 2

  6. emfit_parser emfit_parser Public

    Parses data files from EMFITQS sensors

    Python 1