Hyunwoo Oh

I am a physics Ph.D. from the Maryland Center for Fundamental Physics at the University of Maryland, College Park. Under the guaidance of Paulo Bedaque and Tom Cohen, my research has sat at the intersection of nuclear theory and computational innovation.

My work focuses on two primary pillars:

• Variance reduction: I leverage machine learning and statistical techniques to mitigate variance in Monte Carlo calculations, pushing the boundaries of accuracy in complex simulations.
• Quantum computation: I design and analyze algorithms for efficient quantum state preparation, specifically aimed at making the simulation of quantum field theories a practical reality.

Before my doctoral studies, I served as a Process Integration Engineer at Samsung Electronics, bringing a background in industrial-scale engineering to my foundational work in physics. I hold a B.S. in Physics and Mathematics from Yonsei University.