Skip to content
View mchadolias's full-sized avatar
:octocat:
:octocat:
7 followers · 22 following

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

Highlights

  • Pro

Block or report mchadolias

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
mchadolias/README.md

👨‍💻 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:

Pinned Loading

  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