Noémie is a simulation expert with a PhD in computational physics from Mines Paris–PSL. She spent ten years working in the aerospace, aviation, and transportation industries, creating synthetic models that replicate complex real-world systems and predict their behavior over time. Her expertise lies in combining controlled experiments, high-stakes prediction, failure analysis, and topology optimization, and in translating observed behavior into design changes.
At NativeFold she applies the same approach to coding agents: running simultaneous task variations from a fresh state to control for stochastic variance, observing how agents select and implement software, and turning behavioral evidence into concrete changes to SDKs, APIs, documentation, and installation paths.