ABOUT / RESEARCHER PROFILE
ABOUT / RESEARCHER PROFILE
I work at the intersection of computer engineering, scientific computing, and systems programming. I am interested in how software architecture can make numerical codes easier to understand, verify, and prepare for parallel execution.
My broader interests include task-based parallelism, heterogeneous and distributed computing, and performance optimization. I have also studied portable parallel kernels with Kokkos, CUDA, MPI, OpenMP, and SLURM, and benchmarked scientific workloads on the Toubkal HPC supercomputer.
Start with the science.
Understand the physical models, numerical assumptions, and behavior of the existing code.
Make the boundaries clear.
Use software architecture to separate concerns and make scientific code easier to reason about.
Preserve what matters.
Keep numerical correctness and validation central as the software evolves.