Precision radio sensing
Phase calibration, distributed timing, antenna response, interferometry, and coherent signal reconstruction for a large detector array.
PHYSICS · SENSING · AI & DATA
I develop precision-calibrated sensor and data systems, from radio-interferometric reconstruction and detector simulation to uncertainty-aware analysis and intelligent diagnostics.
Experimental physicist specialising in distributed sensor systems, RF signal processing, precision timing, calibration, interferometry, and uncertainty-aware scientific computing. I build reproducible Python and C++ workflows that turn complex measurements into reliable physical insight.
My doctoral research within the international Pierre Auger Collaboration advanced radio-interferometric reconstruction of very inclined cosmic-ray air showers through timing validation, antenna-response studies, simulation, statistics, and array-wide quality control.
I am open to research and industry collaborations where sensing, scientific computing, AI, and rigorous quantitative reasoning meet.
Phase calibration, distributed timing, antenna response, interferometry, and coherent signal reconstruction for a large detector array.
Reproducible Python and C++ workflows for simulation, uncertainty analysis, quality control, optimisation, and large experimental datasets.
Hands-on work spanning radiation detectors, radio antennas, fluorescence telescopes, LiDAR, electronics, calibration, and field operations.
Machine-learning concepts for anomaly detection, RFI classification, probabilistic quality control, and explainable system monitoring.
Grouped by the work I can perform rather than subjective percentage scores.