M.Sc. candidate in Computer Simulation in Science at Bergische Universität Wuppertal, expected to graduate in January 2027, developing numerical solvers and simulation workflows from governing equations to reproducible, performance-oriented code.
I work at the intersection of fluid mechanics, numerical methods, and high-performance computing. My projects make the complete simulation workflow visible: governing equations, discretization, boundary conditions, iterative solution, convergence monitoring, verification, validation, reproducibility, and performance analysis.
- 🔬 Working on CFD for air curtains and controlled low-humidity mini-environments
- ⚙️ Building and comparing solvers using C, C++, Python, MATLAB, Rust, OpenMP, MPI, and CUDA
- 📊 Interested in reproducible benchmarking, scientific post-processing, and honest interpretation of numerical limitations
- 🎓 Preparing for PhD opportunities in CFD, HPC, numerical simulation, and scientific computing
- Computational fluid dynamics and heat transfer
- High-performance and GPU-accelerated scientific computing
- Solver development, benchmarking, and performance portability
- Multiphysics simulation and controlled environments
- Numerical verification, experimental validation, and uncertainty-aware modeling
Physical problem
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Governing equations and assumptions
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Discretization and boundary conditions
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Implementation and convergence monitoring
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Verification, validation, reproducibility, and performance analysis
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Clear and traceable results



