Master's student in Mathematical Modelling and Computation at DTU with a background in Applied Mathematics. Specialized in numerical methods, scientific computing, and high-performance computing (HPC) with experience in mathematical modeling and algorithm development.
Core Competencies:
- Numerical methods and algorithm development
- Mathematical modeling and simulation
- High-performance computing (HPC)
- Scientific Python ecosystem
- Statistical analysis and data science
- Machine learning and deep learning
- Data analysis and optimization
Technical Implementation:
- Finite volume solver for 2D incompressible Navier-Stokes equations
- Both collocated and staggered grid implementations of SIMPLE algorithm
- TVD schemes with MUSCL/OSPRE/H-CUBIC limiters, QUICK, and Power Law convection schemes
- Custom geometric multigrid (V-cycle, W-cycle, Full Multigrid) implementation
- PETSc and SciPy integration for linear solvers and preconditioners
Key Features:
- Unstructured and structured mesh support with non-orthogonal corrections
- Steady and unsteady simulations with Crank-Nicolson time integration
- Optimal complexity Full Multigrid achieving linear wall time scaling
- Verified through Method of Manufactured Solutions
- Comprehensive testing: lid-driven cavity (Re=100-5000), cylinder flow
Technical Implementation:
- Full-stack Django web application with SQLite database
- Frontend built with Tailwind CSS and Bootstrap components
- Custom user management and role-based permissions system
- Automated email notification system and background task processing
Key Features:
- Player management with automated weekly workflows
- Event registration system with waitlist management for individual and pair entries
- Admin-configurable content and settings for different club requirements
- Production-ready system used by 'Ruder 10 - Ishøj Bridgeklub' (www.substitutliste.dk/)
