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jiachangliu/README.md

Hi there 👋

I am Jiachang Liu, a Ph.D. candidate studying machine learning at Duke University. My advisor is Professor Cynthia Rudin. My main research interest is in interpretable machine learning. I am designing ML algorithms that rely heavily on efficient discrete and continuous optimization techniques.

Before coming to Duke, I earned my B.S. degree with double majors in in physics and mathematics and a minor in computer science from University of Michigan, Ann Arbor in 2018.

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  1. KATEGPT3 KATEGPT3 Public

    Python 36 6

  2. OKRidge OKRidge Public

    Python 7 3

  3. interpretml/FasterRisk interpretml/FasterRisk Public

    Create sparse and accurate risk scoring systems!

    Python 32 5

  4. interpretml/fastSparse interpretml/fastSparse Public

    Jupyter Notebook 21 7