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.

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.

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

Technical Competencies

Grouped by the work I can perform rather than subjective percentage scores.

Scientific Programming & Data

  • Python
  • C++
  • Bash
  • SQL
  • NumPy
  • SciPy
  • Pandas
  • Matplotlib
  • Jupyter
  • Linux
  • Git
  • HPC / SLURM

Machine Learning & AI

  • PyTorch
  • scikit-learn
  • Supervised learning
  • Unsupervised learning
  • Classification
  • Regression
  • Clustering
  • Feature engineering
  • Anomaly detection
  • Model validation
  • Responsible AI

Signal Processing & Reconstruction

  • RF signal processing
  • Radio interferometry
  • Fourier analysis
  • Spectral analysis
  • Phase calibration
  • Timing synchronisation
  • Coherent reconstruction
  • Noise modelling
  • Statistical filtering
  • Optimisation

Sensors, Detectors & Instrumentation

  • Antenna arrays
  • Detector calibration
  • LiDAR
  • Fluorescence telescopes
  • PMTs
  • Radiation detectors
  • VNA / AWG / DAC
  • RF/DC chains
  • DAQ systems
  • Laboratory and field validation

Modelling, Statistics & Quality

  • Uncertainty propagation
  • Statistical inference
  • CORSIKA / CoREAS
  • GALPROP
  • Model-to-data comparison
  • Simulation-based validation
  • Automated quality control
  • Sensor diagnostics
  • Reproducible workflows

Collaboration & Delivery

  • Technical documentation
  • Scientific communication
  • Stakeholder engagement
  • International collaboration
  • Teaching and mentoring
  • Safety procedures
  • Field operations
  • Cross-functional problem solving