AI for Science
Building and implementing interpretable AI to advance scientific understanding.
We evaluated the performance of AI climate models (right) to simulate tropical cyclone genesis. Figure by Dr. Mu-Ting Chien and adapated from Chien et al. (2025).
We build and use deep-learning to study and understandthe Earth system.
Some examples include:
- Exploring the sensitivity of rainfall to sea-surface temperature patterns
- Addressing how past tropical cyclone activity varied with climate and solar forcing