mYeong-su Lee

Myeong-Su Lee (이명수)

I am a postdoctoral researcher at Seoul National University. 

My main research areas are as follows: 

▪ Scientific Machine Learning: Developing and analyzing deep learning-based methods for solving partial differential equations (e.g., Physics-Informed Neural Networks, Neural Operators). 

▪ Kinetic Theory: Mathematical analysis and modeling of kinetic equations, such as the Boltzmann equation and BGK-type models.

▪ Optimization Theory: Mathematical analysis of optimization algorithms, ranging from classical convex frameworks to deep learning.