Michalis "Michael" Chadolias
PhD Student in Neutrino Physics | Data Science & Machine Learning | Statistical & Computational Methods
About me
I am a Doctoral Researcher at the Instituto de Física Corpuscular (IFIC, CSIC–University of Valencia) and an FPI Research Fellow, working on the KM3NeT/ORCA experiment. My research focuses on neutrino oscillation physics, with an emphasis on advanced computational, statistical, and machine learning methods for large-scale neutrino detectors.
My work builds on previous experience within the KM3NeT and ANTARES collaborations at the Erlangen Centre for Astroparticle Physics (ECAP), where my Master’s thesis presented the first feasibility study of tau-neutrino appearance using the full ANTARES dataset. I am particularly interested in bridging high-statistics experimental data with fundamental theoretical models through rigorous data-driven approaches.
Beyond research, I am passionate about science communication and mentoring. Outside of physics, I enjoy strategic games like chess and immersive role-playing campaigns.
"Somewhere, something incredible is waiting to be known."
news
| Feb 01, 2026 | I’m happy to announce that I have started my PhD at IFIC, working with the KM3NeT experiment under the VEGA Group 🌊 |
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| Jan 24, 2026 | Lucky to attend the KM3NeT Collaboration Meeting just before the official start of my doctorate. A great week full of neutrinos ⚛️🐋 |
| Dec 08, 2025 | I’ve published my first article on Medium 🌌, where I reflect on developing my pulsar-classification midterm project for the ML Zoomcamp 🌠🔭 You can read it here! |