I am a Computational Physicist and Research Software Engineer finishing my PhD at Max Planck Institute for Gravitational Physics (Albert Einstein Institute) and IMAPP@Radboud University Nijmegen. I specialize in bridging high-level theoretical physics with high-performance numerical implementation.
- HPC Scalability: Designed and implemented a Python-based automation pipeline that processed over 100,000 simulations on HPC systems.
- Numerical Optimization: Developed novel Summation By Parts (SBP) finite difference operators for spherical symmetry.
- Algorithm Development: Built a new numerical framework for self-force calculations using 3D Finite Volume and Finite Difference methods in Julia.
- Data Science: Improved parameter estimation for gravitational wave models by an order of magnitude using physics-informed priors and machine learning.
- Languages: Julia, Python, Mathematica, C/C++, Fortran,
- Numerical Methods: Finite Volume (FVM), Finite Difference (FDM), Bayesian Inference, Monte Carlo
- HPC & DevOps: Slurm, LIKWID, Git (CI/CD), Bash/Linux, OpenMP
- Waveform Modeling: Developing E/IMRI waveforms using Numerical Relativity.
- Advanced Numerics: Implementing Discontinuous Galerkin Methods and developing SBP operators for spherical symmetry.
- Self-Force: Formulating self-force as an initial value problem for upcoming publications in Physical Review D.
- Personal Website: svretina.github.io
- Email: svretina@gmail.com
- Location: Nijmegen, Netherlands & Leipzig, Germany