Developer at Statistics Norway (SSB) · MSc in Physics, University of Oslo
Computational physics · Scientific machine learning · Quantum computing
I explore the connection between physical models, numerical methods, and machine learning. My public projects cover neural PDE solvers, finite element methods, and quantum algorithms, alongside experiments in software and game development.
Based in Oslo, Norway.
| Project | What you'll find |
|---|---|
| PINNs vs. finite element methods | A comparison of neural and numerical solvers for diffusion and Poiseuille flow, using PyTorch and FEniCSx. Source code, figures, and a project report. |
| Quantum computing & variational methods | Experiments with quantum states, entanglement, and variational quantum eigensolvers using Qiskit and NumPy. |
| Quantum Fourier transform & phase estimation | QFT implementations, phase-estimation circuits, and Hamiltonian-eigenvalue experiments. |
| Gravity Wells TD | A TypeScript game prototype in which towers reshape a potential field to influence enemy trajectories. |
- Scientific ML: physics-informed neural networks and comparisons with numerical baselines.
- Numerical simulation: differential equations, diffusion, fluid flow, and finite element methods.
- Quantum computing: quantum circuits, variational methods, Fourier transforms, and phase estimation.
Scientific computing: Python · PyTorch · NumPy · SciPy · Matplotlib · FEniCSx/DOLFINx · Qiskit
Interactive software: TypeScript · HTML Canvas · Vite · Vitest