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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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BrennanLagasse/README.md

👋 Hi, I’m Brennan Lagasse

  • 📐 Research Assistant for Graph and Geometric Learning Group @ Yale
  • 🧑‍🏫 Research Advisor for high school and college students @ Algoverse
  • 💻 Formerly AI/ML Research Intern @Lockheed AI Center and tech lead for Symbolic Episodic Memory Transformers project
  • 📖 CS + math major @ Yale ('26)
  • 🔬 My research interests include
    • Geometric and topological machine learning
    • Reasoning models
    • Reinforcement learning (meta and few shot learning, transfer learning, memory for RL)
    • Neurosymbolic machine learning

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  1. GNN-Protien-Interaction-Prediction GNN-Protien-Interaction-Prediction Public

    Forked from Eggnog82/gnn-ppi-prediction

    We present a novel approach for predicting interactivity of pairs of proteins using weighted graph neural networks. We achieve slightly better results than prior GNN approaches in the literature.

    Python 1

  2. Quantum-Vehicle-Routing Quantum-Vehicle-Routing Public

    Quantum algorithms for efficiently solving vehicle routing problems in practice on noisy devices. Collaboration with Open Quantum Insitute and the World Food Program

    Jupyter Notebook 3 3

  3. Interpretable-Information-Retrieval Interpretable-Information-Retrieval Public

    Propose, implement, evaluate three novel metrics for approximating importance of words and sentences for the retrieval of document in RAG setting

    Jupyter Notebook

  4. HMS-Brain-Activity-Classification HMS-Brain-Activity-Classification Public

    Machine learning models for classifying neural abnormalities from EEG data with a variety of models and preprocessing techniques

    Jupyter Notebook 1

  5. Soccer-Box-App Soccer-Box-App Public

    App enables staff to run games on the Smart Box interactive soccer training system I helped to develop. Users can select a variety of games and settings and get performance feedback. Currently in use.

    Java 2

  6. Soccer-Box-Code Soccer-Box-Code Public

    Software for interactive soccer training games using LED, pressure-sensitive targets. Enables custom training with nineteen games and specialized settings. Currently in use at The Soccer Box of CT.

    Python 1