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  • University of Washington & UC San Francisco
  • San Jose, California

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Achievement: Pull Sharkx2Achievement: Quickdraw

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Achievement: Pull Sharkx2Achievement: Quickdraw

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jnnishio/README.md

Hi! I’m Jason, a computer science student at the University of Washington Paul G. Allen School of Computer Science & Engineering. I'm also a researcher at the UC San Francisco Proctor Foundation for Research in Ophthalmology. I'm interested in applications of machine learning, explainable AI, neuromorphic computing, and quantum computing for societal good.

Check out my published research and their source code in the pinned repos!

Pinned Loading

  1. Breast-Cancer-Classification Breast-Cancer-Classification Public

    Versatile DL framework with image processing that can classify 8 different brain tumor types with high accuracy

    Jupyter Notebook 2

  2. Cervical-Spondylosis Cervical-Spondylosis Public

    Using image processing techniques and comparing the performance of classical convolutional neural networks with quantum neural networks to detect cervical spondylosis.

    Jupyter Notebook 2

  3. Diabetic-Retinopathy Diabetic-Retinopathy Public

    Forked from nknishio/Diabetic-Retinopathy

    Developing image processing techniques to improve detection and severity classification of diabetic retinopathy with deep learning.

    Jupyter Notebook 1

  4. kvyta/Local-Rainfall-Predictor kvyta/Local-Rainfall-Predictor Public

    Predicts hyper-local rainfall in the next 2 hours based on images of the sky

    HTML 3

  5. nknishio/Sarcasm-Detection nknishio/Sarcasm-Detection Public

    Using NLP and DL to detect sarcasm from social media comments and news headlines. Creating a browser extension to help non-native English speakers better understand true intentions behind text in o…

    Jupyter Notebook 2

  6. ViralflowAI-AWS-Summit-Hacks ViralflowAI-AWS-Summit-Hacks Public

    Viralflow AI: You create the moment. We find it. You shape it. (Winning project in AWS Summit Taipei 2026 AI Everywhere Hackathon)

    TypeScript 2