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Hi there, I'm Miroslav Hallo, Ph.D.

I am a Senior Quantitative Scientist with over 15 years of experience in large-scale numerical modeling and complex data analysis. My work sits at the intersection of Geophysics, Data Science, and High-Performance Computing (HPC), with a core focus on Bayesian Inference and Uncertainty Quantification. I specialize in transforming complex physical problems into scalable, production-grade numerical software.

Bayesian Inference Tools (HPC)

  • PSI | HPC-parallelized Bayesian parametric slip inversion — Fortran (MPI/CPU)
  • NEOPSY | HPC-parallelized transdimensional Bayesian inversion for near-surface imaging — Fortran (MPI/CPU)
  • bayesian-intensity-loc | High-Performance Bayesian earthquake location from seismic intensity — Python (JAX/CPU/GPU/TPU)
  • bayesian-quake-loc | Parallel Bayesian hypocenter location from arrival times — MATLAB (Parallel Pool/CPU)
  • seismic-gf-uncertainty | Uncertainty Quantification in Bayesian earthquake source inversions — Fortran

Seismic Hazard Assessment Tools

Earthquake Source Analysis Tools

  • mt-major-minor | Decomposition of non-DC earthquake sources — MATLAB, Python
  • focal-mech-pt-plots | Focal mechanism PT-axes in polar and triangle diagrams — MATLAB

🛠 Technical Proficiencies

  • Languages Fortran Python MATLAB C++ Bash Delphi

  • Data Science JAX-JIT NumPy SciPy ObsPy Matplotlib Pandas GeoPandas SQLAlchemy Requests

  • Databases & Web SQL MySQL SQLite HTML5 CSS3 PHP