Xin Kai Lee

Xin Kai Lee is a Research Scientist affiliated with the Department of Earth, Atmospheric and Planetary Sciences (EAPS) and the Computational Science and Engineering (CSE) Program at the Massachusetts Institute of Technology (MIT). Their research focuses on Ocean Turbulence Modeling and Dynamics and Scientific Machine Learning, advised by Raffaele Ferrari. Lee holds an MSci in Theoretical Physics from Imperial College London.

Research interests include advancing high-resolution ocean modeling techniques, developing neural differential equation-based parameterizations for ocean dynamics, and integrating machine learning to address gaps in climate models. Their work bridges computational science, fluid dynamics, and environmental systems, with applications in climate prediction and oceanography.

Publications emphasize computational tools like Oceananigans and innovative parameterization approaches. Lee’s contributions are showcased on their website xinkailee.com, and they are based in room 54-1615 at MIT.