Projects
A selection of research and engineering projects I have worked on, spanning aviation safety, aerodynamic optimization, and data-driven modelling.
PhD Thesis
Period: 2021 – 2025
Data driven modelling of nonlinear aerodynamics using high resolution CFD data with reduced order models based on Graph Autoencoders and Bayesian Neural Networks, including multi fidelity integration and Digital Twin development.
SKYSAFE
Organisation: BAZL
Period: 2025 – 2026
RAG based LLM system supporting regulatory aviation safety assessments with structured document integration and citation controlled answer generation.
DRACONIAN
Organisation: BAZL
Period: 2024 – 2025
Deep Reinforcement Learning for optimisation of flight trajectories and control strategies with focus on noise emission reduction.
MODEL SI
Organisation: EASA
Period: 2022 – 2025
Digital Twin framework combining physics based simulation and data driven models for safety assessment processes.
MDO
Organisation: Pilatus Aircraft
Period: 2022 – 2023
Aerodynamic optimisation workflows based on high fidelity simulations and sensitivity analyses.