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Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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jackmedda/README.md

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Research Scientist in machine learning and recommender systems, focusing on fairness, explainability, graph-based learning, and LLM-driven AI systems.

Research Collaborator at the University of Cagliari
PhD in Recommender Systems & Responsible AI

Core stack: Python, PyTorch, Polars, Numpy, FastAPI, Docker, GitHub Actions

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  1. C-Fairness-RecSys C-Fairness-RecSys Public

    Jupyter Notebook 10 3

  2. FA4GCF FA4GCF Public

    Framework built on top of Recbole and Recbole-GNN to experiment with graph augmentations for unfairness mitigation during inference and re-training stages

    Python 6 1

  3. tail-unica/hopwise tail-unica/hopwise Public

    hopwise: A Python Library for Explainable Recommendation based on Path Reasoning over Knowledge Graphs, ACM CIKM '25

    Python 10 3

  4. vsrana-ai/LLMs-for-MI-Dialouge-Generation vsrana-ai/LLMs-for-MI-Dialouge-Generation Public

    Python 2

  5. tail-unica/PHaSEAPI tail-unica/PHaSEAPI Public

    Python 1

  6. ISW-IADA/Tutoraggio-ISW-IADA-2024-2025 ISW-IADA/Tutoraggio-ISW-IADA-2024-2025 Public

    Jupyter Notebook 7 2