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submarinejuice/README.md

Michelle Chala

AI • Cognitive Neuroscience • Machine Learning Research • Quantum Algorithm Computation

👩‍💻 About Me

I’m a Computer Science & Psychology student (Computational + Cognitive Neuroscience Stream) + Business Management Option at Wilfrid Laurier University, passionate about bridging artificial intelligence, human cognition, and market analysis. My work integrates machine learning, Artificial Intelligence Engineering, Research Systems Engineering, fMRI/EEG analysis, and web-scale automation systems to understand — and extend — the boundaries of intelligent behavior.

  • 🔬 Current: Quantum Machine Learning Engineer & Software Quality Assurance Automation Engineer @ Environment & Climate Change Canada (ECCC)
  • 🧠 Research: ML-based brain network mapping for aging and developing brain networks (fMRI, TensorFlow, PyTorch, Nilearn, High Performance Computing, Quantum Machine Learning Computational Algorithms)
  • 🚀 Leadership: Co-President @ UnityED (Enactus Canada) – gamified SEL platform for students & teachers in grades 3-8, VP of Internal Relations @ Laurier Computing Society

🎶 Now Playing on Spotify

spotify-github-profile

🧰 Tech Stack

🎓 Education

Wilfrid Laurier University
Honors BSc Computer Science & Psychology + Business Management Option Concentration: Computational Cognitive Neuroscience
Thesis: ML Analysis of fMRI Networks in Children

🌐 Let’s Connect

⚡ Fun Facts

  • 🧩 Synesthetic thinker; I visualize data patterns and algorithms as colors and shapes!
  • ☕ Usually running on caffeine, deep learning papers, Jazz playlists, and my passion for photography!
  • 🐱 Proud cat-mom + experimental chef + neurophilosophy literature lover :)

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  1. MRL-Learning-to-Predict-Risky-Financial-Decisions MRL-Learning-to-Predict-Risky-Financial-Decisions Public

    Multimodal ML project combining physiological signals (SCR/EDA) and market features to predict risky financial decisions. Includes full AE preprocessing, WESAD integration, feature engineering, MLP…

    Jupyter Notebook 2

  2. CNN-on-MNIST-Feature-Extraction-KNN-and-PCA-Analysis CNN-on-MNIST-Feature-Extraction-KNN-and-PCA-Analysis Public

    The project implements a CNN (convolutional neural network) to classify the MNIST dataset of handwritten digits. We used an input layer of 28x28 grayscale images, 8 filters with 3x3 kernels, ReLU …

    Jupyter Notebook

  3. Personality-Based-Matchmaker-Database Personality-Based-Matchmaker-Database Public

    A database for a personality based matchmaking app using MySQL workbench & Java.

    Java

  4. Child-Memory-Lab Child-Memory-Lab Public

    Research study of 29+ websites to measure website credibility and source monitoring in children.

    HTML

  5. Custom-Mock-Up-Generator Custom-Mock-Up-Generator Public

    A custom mockup page using HTML, CSS, fabric.js, and javascript inspired by printful.

    JavaScript

  6. MikisPartyServer MikisPartyServer Public

    A private server with AI agent integration, real-time syncing, and private RAG for my research.