Scientific Machine Learning
Research Interests
- Computational Science: using numerical methods to solve real-world scientific and engineering problems with large-scale simulations.
- Scientific Machine Learning: combining data-driven and equations-Based modeling
- Deep Uncertainty Quantification: using probabilistic machine learning to quantify and manage uncertainty in predictions and outcomes.
