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tanyelai/README.md

I work on artificial intelligence, but what I am really curious about is how this technology will coexist with people. In practice that has meant applied and interpretable machine learning: making a model's decision legible to whoever has to act on it, across medical imaging, biosignals and language models.

→ tanyelai.github.io — cv, research, publications, notes

Founding AI engineer at Promake. Visiting researcher at the University of Southern Denmark, Centre for Industrial Software.

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  1. nullius nullius Public

    A harness for research work in Claude Code. Take nobody's word for it.

    Python

  2. vcce vcce Public

    VCCE: Visualizing Counterfactual Clues on Electrocardiograms. Paper: Interpretable ECG Analysis for Myocardial Infarction Detection through Counterfactuals

    Jupyter Notebook 6 1

  3. neuroscience neuroscience Public

    Naive journal of computer engineering student who is trying to know more about brain science.

    MATLAB 17 1

  4. deep-breast-positioning deep-breast-positioning Public

    Open source code and breast positioning labels for the paper 'Mammographic Breast Positioning Assessment via Deep Learning'.

    Python 8 1