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@churchlab @shelterhacks @mims-harvard @mindds @serrano-pozo-lab @harvard-openbio @hms-bambi

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ayushnoori/README.md

About Me 👋🏽

Hi! Thank you for visiting my profile. Inspired by personal experiences with neurological disease, I research the interface of neuroscience and AI – including graph representation learning, large language models, and multimodal AI – to better understand the human brain. My mission is to innovate AI-enabled methods to discover novel diagnostics and therapeutics for neurological disease and other challenging medical conditions. To learn more, please visit my website.

Languages and Libraries 👨🏽‍💻

Please find below selected languages, libraries, and tools which I have experience in.

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Contact ✉️

Want to get in touch? Please feel free to email me, or reach out via one of the channels below:

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  1. mims-harvard/PROTON mims-harvard/PROTON Public

    Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems

    Jupyter Notebook 28 14

  2. mims-harvard/OptimusKG mims-harvard/OptimusKG Public

    A modern multimodal knowledge graph with type-specific metadata across biomedical domains.

    Python 75 8

  3. metapaths metapaths Public

    Similarity search in heterogeneous knowledge graphs using meta paths.

    R 31 4

  4. serrano-pozo-lab/glia-ihc serrano-pozo-lab/glia-ihc Public

    Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease.

    TeX 2 2

  5. amanuensis amanuensis Public

    AI-enabled physician assistant for automated clinical summarization and question generation. Empowering physicians to achieve accurate diagnoses and effective treatments.

    TypeScript 8 4

  6. datalens datalens Public

    Open data analysis platform for Alzheimer's disease. Created for CS50 at Harvard College.

    HTML 3