Hi! My name is Minhak Song, and I am an undergraduate student at KAIST, majoring in Mathematical Sciences (minor in Industrial and Systems Engineering). My research interests center on the theoretical foundations of modern machine learning, with the goal of bridging theory and practice.
I have recently been studying the training dynamics of optimization algorithms in deep learning, advised by Prof. Chulhee Yun. I was also a visiting student at the University of Washington, hosted by Prof. Simon Du, where I worked on reinforcement learning from human feedback (RLHF) from an optimization perspective. This summer, I am working with Prof. Sewoong Oh at UW on zeroth-order optimization.
I’m always open to conversations and potential collaborations. Feel free to reach out!