The goal is to develop novel probabilistic machine-learning methods for efficient aerostructure design. The statistical problem involves multi-fidelity multi-objective Bayesian optimization in a low-sample regime.

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.