Ching-Yao Lai, Assistant Professor of Geosciences and Atmospheric and Oceanic Sciences (AOS)

Research Summary:  Lai studies fundamental questions in fluid dynamics, climate science, and geophysics by integrating physical and machine-learned models with both experimental and observational data. Her research addresses challenges facing the world, such as advancing our scientific knowledge of ice dynamics under climate change.  Lai uses mathematical models, experiments, simulations, and machine learning tools to study the complex interactions between fluids and elasticity and their interfacial dynamics, such as multiphase flows, flows in deformable structures, and cracks. In particular, her recent work combines deep-learning and physics-based models to predict the disintegration of ice shelves in a warming climate.

Group: Lai Research Group