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davide-gurrieri/README.md

Hi there 👋

Davide Gurrieri

  • 👨‍🎓 Studying Mathematical Engineering with a focus on statistical learning, machine learning, and high performance computing.
  • 📚 Interested in exploring the intersection of statistics, mathematics, and computer science.
  • 🥰 Passionate about applying mathematical concepts to solve real-world problems.
  • 💻 Experienced in implementing machine learning algorithms and data analysis techniques.
  • 🚀 Constantly learning and keeping up with the latest advancements in the field.

🎓 Education:

  • MSc in Mathematical Engineering - Statistical Learning track @ Polytechnic University of Milan
  • BSc in Automation Engineering @ Alma Mater - University of Bologna

✅ Projects:

🧑‍💻 Skills:

C++ C Python R LaTex

🔗 Contacts:

Email LinkedIn

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  1. parallel-GCN parallel-GCN Public

    High-performance CUDA C++ implementation of Graph Convolutional Networks

    C++ 6 1

  2. ph-metric-graphs ph-metric-graphs Public

    Computation of persistent homology on metric graphs, with particular focus on vascular networks.

    Jupyter Notebook

  3. PM10_BAYESIAN PM10_BAYESIAN Public

    Forked from eugeniovaretti/PM10_BAYESIAN

    Clustering spatial times via Bayesian nonparametric. Bayesian Statistic, MSc Mathematical Engineering, PoliMi, a.y 2022/2023

    Jupyter Notebook