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mbarbetti/README.md

Ciao! 👋🏻 I am Matteo

Data Scientist @ Accenture CoE for AI & GenAI

mbarbetti

About Me

🧑🏻‍💻 I am a Data Scientist at the Center of Excellence for AI & GenAI at Accenture.

🎓 I hold a PhD in Smart Computing from the University of Firenze.

👨🏻‍🔬 Previously, I was a Technological Researcher at INFN-CNAF, focusing on AI applications for Particle Physics.

🤝🏻 As an academic, I was a member of both the National Institute for Nuclear Physics (INFN) and the LHCb Collaboration @ CERN.

Recent Academic Projects

  • Generative Models (e.g., GANs) for Flash Simulation in the LHCb experiment:
    • Developed, trained, and optimized deep generative models for High Energy Physics (HEP) simulations.
    • See: pidgan, calotron, tf-gen-models
  • Hyperparameter Optimization as a Service:
    • Designed and implemented an orchestration system for hyperparameter optimization via HTTP requests.
    • See: hopaas, hopaas_client, optunapi
  • GenAI-powered Digital Agent for user support at the CNAF Data Center.

Interests

  • Deep Generative Models (particularly GANs)
  • Transformers & attention-driven models
  • Bayesian optimization techniques
  • Graph Neural Networks

Contacts

📫 How to reach me:

💬 My social profiles:

🗂️ My academic social profiles:

Profile stats



Favourite tools

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  1. pidgan pidgan Public

    📦 GAN-based models to flash-simulate the LHCb PID detectors

    Python 5 2

  2. calotron calotron Public

    📦 Transformer-based models to flash-simulate the LHCb ECAL detector

    Python 1

  3. landerlini/scikinC landerlini/scikinC Public

    Set of tools to translate scikit learn and keras neural network in plain C

    C 7 3

  4. landerlini/hopaas_client landerlini/hopaas_client Public

    Hyperparameter Optimization as a Service (Client)

    Python 3