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mchadolias/README.md

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👨‍💻 About Me

🔬 Predoctoral Researcher in Neutrino Physics at IFIC (CSIC-UV) with the VEGA group

🏛️ Doctoral Student in Experimental High Energy Physics at the University of Valencia

🤖 Developing and applying machine learning methods in astroparticle physics

📊 Astroparticle physics · Neutrino oscillations · Data analysis · Scientific computing

💻 Tools

Python C++ Bash PyTorch TensorFlow Scikit-learn Matplotlib Seaborn ROOT FastAPI Docker Apptainer Git Linux VS Code

📫 How to reach me

Best ways to connect:

Also you can check out:

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  1. tau-appearance-antares tau-appearance-antares Public

    Feasibility study of tau-neutrino appearance measurements with the ANTARES neutrino telescope.

    Python

  2. preprocess-antares-dst preprocess-antares-dst Public

    Preprocessing pipeline for ANTARES summary files

    C++

  3. detect-pulsar-api detect-pulsar-api Public

    ML classification system for pulsar detection from radio telescope data (HTRU2 dataset). FastAPI + Docker deployment.

    Python 1

  4. miniboone-classifier miniboone-classifier Public

    This project builds a reproducible machine-learning pipeline to distinguish electron from muon neutrinos in the MiniBooNE neutrino dataset, using uv-managed environments, scikit-learn and XGBoost m…

    Python