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Achievement: Pull Sharkx2Achievement: YOLO

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Achievement: Pull Sharkx2Achievement: YOLO

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itayinbarr/README.md

Creating technology and connecting people.

Currently where neuroscience and technology meet.

What I do

I use math and neurobiology to understand how the brain works.

  • Data Scientist at BRAIN.Q, focused on analyzing neural signal processing in clinical settings to make technology better.

  • Researcher at Brains & Machines Lab, using deep learning to learn how we perceive the world.

Things I'm proud of

  • 2nd place in a NASA AI research competition - Won competing against 300 teams. Designed and built an AI system to answer NASA's challenge in research domains. Read NASA's article about it

  • Founded a neurotech community – Dedicated to making neurotechnology tools more accessible to builders, founders, and other non-neuroscientists. Hundreds have joined. Check it out

  • Released open-source libraries – Like web-muse, which connects consumer EEG devices directly to the browser, allowing plug-and-play development.

Let's talk

Reach out! I'd love to connect.

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  1. web-muse web-muse Public

    A modern JavaScript library for connecting to Muse EEG devices using Web Bluetooth API. This project aims to provide a maintained alternative to muse-js which is no longer actively maintained.

    JavaScript 13 5

  2. ADclassifier ADclassifier Public

    EEG frequency patterns analysis for distinguishing Alzheimer's Disease patients from age-matched healthy controls

    Python 7 2

  3. brain-arcade brain-arcade Public

    A retro arcade of thought-controlled minigames - proving neurotechnology is already here, accessible, and ready to hack.

    JavaScript 10

  4. eeg-recorder-app eeg-recorder-app Public

    A complete web-based solution for recording EEG data from the Muse 2 headset and processing it with scientific-grade analysis.

    Python 5

  5. datasetter datasetter Public

    Python-based pipeline for unifying and preprocessing EEG data from multiple OpenNeuro datasets.

    Python 4

  6. ml-pipeline ml-pipeline Public

    This project demonstrates best practices for building maintainable, reproducible ML systems.

    Python 3