Lead the 3-year AI/ML strategy (including business model) for CFD and fluids simulation, driving the transition to AI-augmented engineering workflows through scalable ML surrogate modeling, foundational models, virtual companion/agentic AI and production integration.

Leading the AI strategy for fluids simulation, translating customer needs into scalable product capabilities that accelerated adoption of AI-driven engineering workflows.

Led global technical teams and strategic customer engagements to drive adoption of CFD solutions while accelerating business growth and influencing product strategy.

Engaged with customers to define digital engineering strategies and implement Dassault Systèmes CFD solutions for product design.

Delivered CFD simulation expertise and technical solutions that helped customers improve product design, engineering efficiency, and innovation.

Applied high-fidelity CFD, mesh morphing, and response surface modeling (RSM) to optimize vehicle aerodynamics methodology and accelerate data-driven design decisions.

Contributed to the scientific success of the ESA Rosetta mission through high-fidelity DSMC modeling, spacecraft data interpretation, and Science Working Team collaboration.

Developed DSMC predictive model of rarefied atmosphere applied to comet activity to support ESA Rosetta mission planning, optimize observation campaigns, and enhance scientific data interpretation.