Uncertainty Quantification Lab
We develop statistically principled uncertainty quantification methods for scientific models, modern machine learning, and reliable decision-making under uncertainty.
Recent News
- 📌 Jun 13, 2026 Prof. Chang received this year's Early Investigator Award from the Section on Statistics and the Environment (ENVR) of the American Statistical Association!
- Mar 20, 2026 SNUUQ Lab website open!