During the project, a complete numerical workflow was developed for offshore monopile wind turbine analysis under realistic environmental conditions. The work began with the creation of high-fidelity CFD models, including domain definition, meshing strategies, numerical settings, and verification-oriented sensitivity studies. The project then advanced through validation activities for hydrodynamic loading, aerodynamic loading, and the coupled wind–wave–current case. Building on these validated simulations, a structured computational database was generated and used to construct a surrogate-modeling framework for rapid prediction of relevant load quantities. The project, therefore, moved from detailed physics-based simulation to data-driven reduced-order prediction, which was the core ambition of the proposal. A major scientific achievement was the development of a validated CFD model for offshore monopile systems under concurrent wind, wave and current conditions. A second key achievement was the successful development of the surrogate-modeling strategy derived from those high-fidelity simulations, enabling much faster engineering use of the knowledge embedded in the CFD results. The fellowship also delivered strong scientific and professional outcomes through journal publications, conference presentations, seminars, technical training, and interdisciplinary collaboration. Overall, the project achieved the planned scientific pathway from validated high-fidelity modelling to surrogate modelling, and the objectives of the proposal were completed.