Jihwan Kim

I am an undergraduate at Seoul National University studying mathematics and computer science. My research focuses on the theory and design of optimization algorithms for machine learning, including scaling laws, implicit bias, normalization, and preconditioning. I am particularly interested in understanding how optimizer dynamics and data geometry shape learned solutions and downstream performance.