From Data to Decisions in Complex Systems
The Willcox Research Group is developing scalable computational methods for design of next-generation engineered systems. The group has a particular focus on scientific machine learning and model reduction as a way to learn principled approximations from data, and on multifidelity formulations to leverage multiple sources of uncertain information.
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