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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

ayushnoori ayushnoori ayushnoori

Contact ✉️

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

ayushnoori ayushnoori

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Ayush Noori's Projects

ai-biomedicine-workshop icon ai-biomedicine-workshop

Artificial intelligence for biomedicine workshop at the Future of Synthetic Biology Conference 2023 (www.futureofsynbio.org), hosted by the Harvard College OpenBio Laboratory (www.harvardopenbio.org).

ai-blog icon ai-blog

Contributions to the RStudio AI Blog.

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

alive icon alive

Advanced Lifespan Intelligence Virtual Expert (ALIVE). Placing control over your healthspan into your own hands. Built for TreeHacks 2024.

amanuensis icon amanuensis

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

apoe-glia icon apoe-glia

Effect of APOE alleles on the glial transcriptome in normal aging and Alzheimer’s disease.

astrocyte-review icon astrocyte-review

Systematic review of human post-mortem immunohistochemical studies and bioinformatics analyses unveil the complexity of astrocyte reaction in Alzheimer’s disease.

covid19-nlp icon covid19-nlp

COVID-19 Twitter NLP project for HDAG Summer 2021 Data Science Fellowship.

datalens icon datalens

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

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

drug_id_mapping icon drug_id_mapping

Cross matching drugs from different databases ( Drugbank, STITCH, ChEMBL PubChem, UMLS, TTD, KEGG, ZINC ) and saving in a structured TSV file.

dtc-pharma icon dtc-pharma

Direct-to-consumer pharmaceuticals landing page for gener8tor.

erevna-cvt icon erevna-cvt

Erevna coronavirus visualization team for Harvard Global Day of Service.

glia-ihc icon glia-ihc

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

graph-bbb icon graph-bbb

Graph molecular learning to predict blood-brain-barrier penetration and CNS drug delivery.

homework-template icon homework-template

Typeset assignments and problem sets using LaTeX; typographically optimized for online submission

kg_rag icon kg_rag

This repository holds the scripts that implement Knowledge Graph based Retrieval-Augmented Generation for Large Language Models

metapaths icon metapaths

Similarity search in heterogeneous knowledge graphs using meta paths.

molecule-synthesis icon molecule-synthesis

Multi-objective generative AI for designing novel brain-targeting small molecules.

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