Hello, my name is Jaewook Lee. (In English I go by David!) I am a Master's Student in the Optimization and Machine Learning (OptiML) Laboratory, fortunate to be advised by Prof. Chulhee Yun at KAIST AI. Beforehand, I completed my B.S. in Electrical Engineering and Mathematical Sciences (Double Major) at KAIST.

I am interested in optimization theory including both convex/nonconvex & stochastic optimization algorithms and applications to practical settings in AI and/or deep learning theory. Recently I have been particularly interested in Wasserstein gradient flows. I am also interested in minimax optimization and similar topics like control/operator theory & variational inequalities, multi-player games & multi-agent learning, and block coordinate descent (which could be thought of as a purely cooperative n-player game). I am also always eager to learn more about any other interesting optimization, ML/DL theory or math-related topics!