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Automated multi-fidelity aerodynamic design pipeline for a High-Lift STOL wing. Integrates Python (AeroSandbox) for parametric optimization, OpenVSP for 3D sizing, and Ansys Fluent (RANS) for high-fidelity physics validation.
Aerospace system identification, model validation & uncertainty quantification in Python. Fit ODE models to flight-test data with error bars, Kalman filtering, Bayesian inference, optimal experiment design, and JSBSim/RocketPy/AeroSandbox adapters, what the data says the vehicle really is.