Featured Projects

Pigreads — Python-integrated GPU-enabled reaction-diffusion solver

Python OpenCL NumPy

A high-performance solver for cardiac electrophysiology and other reaction-diffusion systems, running on GPU via OpenCL and also on CPU. Solo-designed and built from scratch. On a standard benchmark problem at fine resolution, Pigreads runs 6× faster than the closest competing GPU solver and 24× faster than a CPU baseline. Used by research groups across the Netherlands, Belgium, and Germany. Published in Computer Physics Communications (2026).

Ithildin — parallelised reaction-diffusion simulation library

C++ MPI

A high-performance CPU-based solver for anisotropic reaction-diffusion problems in excitable media. Adopted by multiple research groups. Published in PLOS ONE (2024).

Distephym — data-driven cardiac tissue model

Python C++ OpenMP

A machine-learning-based low-order predictive model of cardiac tissue excitation, trained from recorded activation patterns. The forward model for a 25×25 mm 2D tissue medium runs faster than real time, making it applicable to predicting arrhythmic episodes before they occur. Published in Computers in Biology and Medicine (2024).

More Projects

Additional tools and experiments: gitlab.com/dkabus  |  gitlab.com/heartkor  |  gitlab.com/pigreads

Skills at a Glance

Languages: C, C++, Python, CUDA, OpenCL, Lua, bash, JavaScript, LaTeX, and more
HPC / GPU: CUDA, OpenCL, MPI, OpenMP, GPGPU
ML / Data: TensorFlow, NumPy, SciPy, neural networks, data-driven modelling
Infrastructure: Git, GitLab CI/CD, Docker, GNU/Linux, ParaView, iRODS

Open to new opportunities in scientific software engineering, ML for biomedical applications, and digital twin / simulation engineering — in or around Leiden, The Hague, and Amsterdam.