// computational-science-consultant
Chemical engineer and computational scientist — helping R&D teams scale physics-based simulations, port legacy codes to GPU, and unlock faster design cycles.
10M+
particle DEM runs
4+
yrs post-doctoral research
3
industry sectors
2
peer-reviewed publications
// capabilities
Reactive flows, gas–liquid mass transfer, adsorption systems, and packed-bed reactors using OpenFOAM and custom solvers.
Spherical and non-spherical particle DEM (LAMMPS, EDEM, Rocky, LIGGGHTS) for powder processing, bulk solids, and pharmaceutical manufacturing.
Smoothed Particle Hydrodynamics for free-surface and multiphase flows; SPH–DEM coupling via DualSPHysics and Project Chrono.
CPU-to-GPU code transformation using OpenACC, CUDA, and JAX/XLA. MPI/OpenMP parallel scaling for production scientific codebases in C++, Fortran, Python, and R.
// selected-work
Spherical harmonic-based DEM for arbitrarily shaped particles. Parallelised with MPI/OpenMP. Published in Computer Physics Communications.
Air–water multiphase free-surface SPH with SPH–DEM fluid–solid coupling for a novel turbine concept.
Ported a legacy R spatial model to Python/JAX with new features. GPU acceleration enabled comprehensive parameter sweeps on real Wirral geographic data.
// services
Project-based engagements, code development, and technical advisory. All work handled with strict confidentiality.
End-to-end campaigns — geometry, solver setup, and written technical reports with scale-up recommendations.
Profiling and GPU-porting of C++, Fortran, Python, and R codebases using OpenACC, CUDA, and JAX/XLA.
DoE-driven CFD/DEM campaigns to map process performance across a design space and identify optimal operating conditions.
Simulation strategy, HPC infrastructure, solver selection, and code architecture review for teams building in-house capability.
// get-in-touch
Available for project-based consulting in CFD, DEM, SPH, and GPU-accelerated scientific computing.
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