Computational engineering researcher specializing in modeling, simulation, and optimization of complex multiphysics systems.
I'm a Marie Curie Postdoctoral Fellow at Eindhoven University of Technology (the Netherlands), working at the intersection of scientific computing, high-performance computing, and electrochemical engineering. Previously, I did my PhD in computational biomedical engineering at KU Leuven (Belgium).
I'm passionate about developing open-source scientific software, scaling simulations on HPC clusters, and applying machine learning to engineering problems. Outside of work, you might find me occasionally playing bass guitar or studying chess.
- Topology optimization of porous electrodes for redox flow batteries
- GPU-accelerated multiphysics simulations using CUDA, Firedrake, and OpenFOAM
- Hybrid ML + physics-based approaches for electrochemical system design
- Mentoring PhD & MSc students in computational modeling
| Project | Description | Stack |
|---|---|---|
| RedOx-TO | Topology optimization framework for porous electrodes in electrochemical flow reactors | Python, Firedrake, PETSc |
| RfbFoam | Redox flow battery simulation tool (fluid, mass & charge transport) | C++, OpenFOAM |
| BioDeg | Simulation of corrosion & biodegradation in metallic biomaterials | C++, FreeFEM, PETSc, Qt |
| ASLI | TPMS lattice structure generator for engineering applications | C++, CGAL, Mmg |
| Skeletal Cell Atlas | Interactive web-based genomics resource for skeletal developmental data | Python, Dash, Plotly |
Languages & Parallel Computing
Scientific Computing & Simulation
Machine Learning
DevOps & Tools
🧭 Explore the full landscape of tools and technologies I use in my Research Technology Radar.
I'm always happy to chat about scientific computing, simulation tools, or collaboration opportunities. You can find my contact details here.
🌍 Eindhoven, the Netherlands
"All models are wrong, but some are useful." - George Box
