Hyunwoo Oh
I am a data scientist at Lam Research. I use machine learning techniques and AI to reduce the cost of semiconductor manufacturing processes. I received my Ph.D. in physics from University of Maryland. Under the guidance of Paulo Bedaque and Tom Cohen, my research has sat at the intersection of nuclear theory and computational innovation. 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.
selected publications
- Signal-to-noise problems in fault-tolerant quantum computationOct 2026
- Classical and Quantum Algorithmic Developments in Lattice Field TheoryUniversity of Maryland, May 2026
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- Leveraging neural control variates for enhanced precision in lattice field theoryPhys. Rev. D, May 2024
- Efficient vacuum-state preparation for quantum simulation of strongly interacting local quantum field theoriesPhys. Rev. A, Feb 2024
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