The goal is to develop state-of-the-art foundation models for joint modeling of multi-modal astronomical datasets. The ML problem involves pretraining and fine-tuning transformer models to learn interpretable embeddings across modality.

The goal is to develop foundation models for detecting and mitigating the risk of plasma instability inside Tokamak reactors. The problem involves spatiotemporal generative modeling of the plasma field.