Physicist (PhD), V&V Simulation Engineer and Founder of Deep Why with 20 years of experience across industry and academia. Deep Why was established to bridge advanced plasma physics modeling with rigorous verification and validation (V&V) methodologies, ensuring computational models are benchmarked, trustworthy, and audit-ready.
Manuel specialises in V&V simulation engineering and (microwave) plasma physics. He excels at gathering simulation and experimental data, systematically validating kinetic and fluid models against benchmark datasets, and designing continuous verification pipelines. Curious and forward-looking, he integrates AI-assisted validation, SimOps best practices, and data-driven methods to accelerate simulation cycles.
Focus Areas: Verification & Validation (V&V), Simulation Engineering, Plasma Physics Simulations, SimOps & MLOps, Data-Driven Physical Models, Quantum Computing.
Selected Experience
- V&V Simulation Engineer & Founder, Deep Why
(2025 – Present)
Delivering rigorous verification & validation (V&V) frameworks for plasma chemistry and physics models. Integrating Cantera, COMSOL, Plasimo, CST, and custom Python suites into automated, SimOps-compliant pipelines. - Simulation Engineer, Plasma Matters (2020 –
2023)
Developed and validated 0D/1D/2D plasma models for complex molecular mixtures (CO2, N2, NH3, air). Verification and validation of FDFD and FEM microwave plasma models in Plasimo and COMSOL models, including DBD and SDBD. - Development Engineer, Prysmian Group (2018 –
2020)
Optimized glass fiber preform production through experimental execution and CST Microwave Studio 3D resonator simulations correlated with 2D plasma models. - Researcher, COMAT-AGORA / UPS, Toulouse (2014 – 2015)
Verification and validation of hybrid PIC-Fluid plasma models to study cathodic arcs for microsatellite propulsion under magnetic fields.