Hyunwoo Oh

I am a physics Ph.D. candidate at the Maryland Center for Fundamental Physics at the University of Maryland, College Park, where I work with Paulo Bedaque and Tom Cohen. I did my bachelors in Physics and Mathematics at Yonsei University.

My research has focused on improving stochastic simulation methods. I use machine learning and statistical techniques to reduce variance in Monte Carlo calculations, enhancing accuracy and reliability in complex simulations. Additionally, I have been developing quantum algorithms: I design and analyze methods for efficient quantum state preparation, contributing to the advancement of practical quantum computing for simulating quantum field theories.