Portrait of Anthony Bwembya

PHYSICS · SENSING · AI & DATA

Turning complex measurements into reliable insight.

I develop precision-calibrated sensor and data systems, from radio-interferometric reconstruction and detector simulation to uncertainty-aware analysis and intelligent diagnostics.

In plain English: I make large sensor networks agree on time, combine weak signals coherently, and turn noisy measurements into trustworthy results.

Open to research and industry roles, technical partnerships, and interdisciplinary collaborations.

Professional Profile

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.

Transferable Capabilities

For industry and applied-research teams, this work translates directly to distributed sensor systems, RF and signal processing, calibration, anomaly detection, scientific software, automated quality control, and uncertainty-aware decision pipelines.

Selected Highlights

Precision radio sensing

Phase calibration, distributed timing, antenna response, interferometry, and coherent signal reconstruction for a large detector array.

30–80 MHzSub-ns validationRF systems

Scientific computing

Reproducible Python and C++ workflows for simulation, uncertainty analysis, quality control, optimisation, and large experimental datasets.

PythonC++Statistics

Instrumentation

Hands-on work spanning radiation detectors, radio antennas, fluorescence telescopes, LiDAR, electronics, calibration, and field operations.

CalibrationDetectorsField systems

AI and intelligent diagnostics

Machine-learning concepts for anomaly detection, RFI classification, probabilistic quality control, and explainable system monitoring.

Machine learningRFIResponsible AI

EXPLORE THE FULL PROFILE

See the experience and research behind the highlights.

Review my professional experience, research contributions, or download the complete CV for the full technical competency inventory.