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MiroHallo/MiroHallo

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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 transdimensional 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++ Delphi Bash

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

  • Databases & Web SQL MySQL SQLite HTML5 CSS3 PHP

🌐 日本語プロフィール (Japanese Version)

ハロー・ミロスラヴと申します。

地震学、データサイエンス、およびハイパフォーマンスコンピューティング(HPC)を専門とするシニア・クオンティティティブ・サイエンティストです。15年以上にわたり、複雑な物理現象をスケーラブルな解析ソフトウェアへと落とし込むことに注力してきました。特に日本における地震動評価、ベイズ推論、および不確実性解析に深い専門性を持っています。

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