Portfolio · 2026
Open to collaborationComputation,
simulation,
and the physics
in between.
I am Carl D. Lund, a MSc Student in Engineering Physics, specialising in Computation and Simulation. I transform mathematics into working code, and ideas into reality.
Selected work
Featured projects
KINETIKA: In-Silico Biology Engine
2026A Rust/Julia engine for GPCR orphan receptor discovery using Scientific Machine Learning.
Cerebroam: Topological Data Explorer
2025Spatial mapping and data exploration software for abstract, complex systems using topological data analysis.
STONE: String-Theoretic Optimisation
2025Simulating biological branching systems via covariant closed string field theory.
Grid OS: Edge AI Energy Markets
2024An autonomous energy market OS leveraging Edge AI transformers for micro-second grid routing.
From the notebook
Recent writing
Why I keep rewriting the same fluid solver
May 2025Notes on what each rewrite of a Lattice Boltzmann code taught me about numerical intuition.
A field guide to softening in N-body codes
Feb 2025Plummer, spline, adaptive — what changes when you tune the softening length and why it matters.
Floating-point traps I keep falling into
Nov 2024A small catalogue of subtle precision bugs from simulation code, with minimal reproductions.
Bibliography
Selected publications
On Stochastic Universal Differential Equations (SUDEs): A New Class of Equations for SciML
2026Preprint: Quantitative Finance & ML
On the Unification of Geometric Deep Learning and Boundary Value Problems
2025Journal of Computational Physics
On the Resolution of Stochastic Electromagnetic Noise via PINNs
2024Cryptographic Engineering Review