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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

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matteoguida/README.md

Hi, I'm Matteo Guida 👋

PhD in Experimental Astroparticle Physics | MSc in Physics of Data

Data scientist in experimental physics with 5+ years of experience in end-to-end sensor analysis pipelines in Python on HPC clusters, deep learning models, Monte Carlo detector simulations, and profile-likelihood statistical inference with systematic uncertainties.

Most of my code lives in private repositories of the XENONnT org, a 200+ scientist astroparticle physics collaboration. The org has some public repos, but most of the codebase is private, and that’s where nearly all my contributions went.

🔒 Why private? XENONnT operates in a highly competitive field alongside experiments like LUX-ZEPLIN (US+UK) and PandaX (China). For project details and specific contributions, see my LinkedIn, PhD thesis, and Google Scholar.

📌 The visible repos here for now are old university projects, made with care given what I knew back then, but mostly as unstructured Jupyter notebooks rather than software meant for collaborative or production workflows.

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  1. Quantum-Information-and-Computing Quantum-Information-and-Computing Public

    Reinforcement learning model-free quantum control on many coupled qubits.

    Python 5 3

  2. Positron-Induced-Muon-Source Positron-Induced-Muon-Source Public

    Forked from albchim/LCP_Project

    Monte Carlo events generator for processes involved in an hypothetical muon collider (LEMMA Collaboration).

    Jupyter Notebook 1 1

  3. Deep_Learning_Exercises Deep_Learning_Exercises Public

    Collection of deep learning exercises.

    Jupyter Notebook 2

  4. Belle-II-Analysis Belle-II-Analysis Public

    Machine learning multiclassification task in particle physics experiment (Belle II) with deep neural networks (DNN) and gradient boosted decision trees (XGBoost).

    Jupyter Notebook 4 3