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51 followers · 36 following

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Organizations

@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.

ayushnoori ayushnoori ayushnoori

ayushnoori ayushnoori ayushnoori

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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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Pinned

  1. mims-harvard/scCIPHER mims-harvard/scCIPHER Public

    scCIPHER: Contextual deep learning on single-cell-enriched knowledge graphs in neurological disorders

    Jupyter Notebook 4 1

  2. metapaths metapaths Public

    Similarity search in heterogeneous knowledge graphs using meta paths.

    R 19 3

  3. 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 1 2

  4. amanuensis amanuensis Public

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

    TypeScript 7 2

  5. datalens datalens Public

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

    HTML 2

  6. nd-diff-expr nd-diff-expr Public

    Differential gene expression data from the human central nervous system across Alzheimer’s disease, Lewy body diseases, and ALS-FTD.

    HTML 3