AI-Powered V&V Simulation Engineering.
Streamline your R&D with workflow automation and AI. I provide the expert-in-the-loop validation needed for robust simulation development.
Validation-Driven R&D | AI Workflow Automation | Physics-Informed Modeling | Vendor-Agnostic
Portfolio
Advanced computational models and physics-based simulations.
pyFrost-GM: V&V-Driven Development
How verification baselines and validation targets guided the AI-accelerated reimplementation of plasma chemistry software from MATLAB to Python.
pyFrost-GM Validation Benchmarks
Modular global model implementation of Lisbon KInetics (LoKI-GM) in Python 3, validated against literature benchmarks for oxygen discharges.
Surfatron Model Validation
2D self-consistent model of a surfatron launcher, validated against experimental Thomson scattering data, explaining the role of molecular ions in plasma constriction.
TIA Microwave Plasma Torch EM Modeling
Electromagnetic analysis of the Torche à Injection Axiale (TIA) under various operating configurations (closed, semi-open, open) to study power coupling mechanisms.
Surfaguide Model Validation
2D self-consistent model of a surfaguide launcher sustaining atmospheric pressure argon plasma, investigating the role of wall temperature and molecular-assisted recombination.
Microwave Deposition Resonator
2D self-consistent PLASIMO model of a microwave deposition reactor (PCVD) used for optical fiber fabrication, optimizing argon plasma confinement using metallic chokes.