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itayinbarr/README.md

If you're reading this, it means we have at least one common interest. Let's find which one!

I'm passionate about exploring how our brains tick and how tech can tag along. Looking into how the brain works and mixing it with tech is my kind of adventure. I am dedicated to discovering ways technology and neuroscience can come together to unlock some of life’s mysteries.

My journey has been all about teamwork and creative problem-solving. Whether it's leading a project or brainstorming with buddies, I bring enthusiasm and a knack for breaking down complex ideas into fun, understandable bits.

I research at Brains & Machines Lab, data scientist at BRAIN.Q and study computational neuroscience at BGU.

Latest Adventures

  • NASA AI Contest: Our team snagged second place in a competitive NASA AI contest, standing out among 300 teams. This was a huge nod to our collaborative innovation and problem-solving skills.

  • Meta Global Llama Community Summit: Invited and hosted by Meta at their HQ in California, participating alongside 60 experts from 26 countries. Engaged in discussions on leveraging AI for positive change in healthcare, education, and sustainable development. Excited about the potential partnerships and collaborations forged during this event.

  • 150K Users Project: I spearheaded an impact project that reached 150,000 users in 48 hours, blending legal education with user-friendly tech. This demanded strong project management, effective communication, and a clear vision to deliver impactful solutions quickly.

Let's Connect!

We can also just grab coffee.

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  1. ADclassifier ADclassifier Public

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

    Python

  2. EarlyVisualDisease EarlyVisualDisease Public

    Modeling the impact of various pathological states on early primate visual attention mechanisms using Itti-Koch as a base model

    Python

  3. SecondOpinion SecondOpinion Public

    A convolutional neural network model, built & trained to recognize 3 types of brain tumors.

    Python 1

  4. CancerGene CancerGene Public

    This is a model trained to recognize two types of leukemia from gene data

    Python

  5. team-optimizer team-optimizer Public

    Optimize development sprint creation using LLMs.

    Python

  6. ml-deploy ml-deploy Public

    A repository written to myself as a template for deploying a custom PyTorch model

    Python