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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News
Feb. 27, 2026
After more than a decade of advances in AI, mathematics and supercomputing, UT is shaping the future of digital twins — bringing together researchers across campus to deploy physics‑informed, AI‑powered models for energy, healthcare, national security and natural hazard mitigation.
News
July 7, 2025
A research team led by UT Austin has achieved a 90,000x speedup in simulating next-generation rotating detonation rocket engines, dramatically reducing computation time. This breakthrough enables real-time engine design and optimization.
News
June 23, 2025
Willcox is the first woman to receive the Grand Prize, which is awarded by the Japan Society for Computational Engineering and Science.
