Yao leads a NSF-NERC collaborative project to study Greenland meltwater pathways using machine-learning and physics-based models.

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Our project “Singularities in Incompressible Flows” led by Ionescu, Lai, Buckmaster, Gomez Serrano, and Jia received the NSF Focused Research Groups (FRG) grant in the Mathematical Sciences.

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Yao’s research featured in the Center for Statistics and Machine Learning News: Ching-Yao Lai yields machine learning to explore ice sheet physics