Join speaker Daniele Gammelli as they explore how advancements in foundation models are shaping the future of space autonomy. The talk will cover adapting foundation model techniques, like Transformers, for reliable decision-making in spacecraft trajectory optimization. Additionally, Daniele will highlight opportunities for pre-trained models in machine learning-based autonomy stacks, from data curation to modular reasoning, paving the way for a versatile Space Foundation Model.