Our Research
Learning fast reduced models of physics simulations from distributed and streamed data.
Actively collecting data with rare-event simulation to learn models that are predictive even about extreme events.
Establishing trust in machine learning predictions through rigorous uncertainty quantification and multi-fidelity methods.
