Quantum algorithms
I work on practical algorithm design around state preparation, variational methods, and quantum workflows that can still be explained in classical engineering terms.
My work sits between theory, implementation, and communication. I like projects that demand mathematical clarity but still end in something people can run, read, or evaluate.
I work on practical algorithm design around state preparation, variational methods, and quantum workflows that can still be explained in classical engineering terms.
My physics background keeps pulling me toward numerical simulation, PDE-oriented thinking, and the question of how computation changes what we can model or optimize.
I am interested in how decentralized infrastructure can become product-grade systems rather than just speculative technology demos.
Yonsei University
Building a foundation that connects quantum theory, device-level engineering, and software implementation. The overlap between the two majors has shaped how I approach both research and product work.
Deep understanding of fundamental physical laws, enabling rigorous mathematical analysis from subatomic quantum scales up to macroscopic classical systems.
Bridging pure theory and practical application. Capable of designing, analyzing, and optimizing hardware architectures, complex signals, and low-level operating systems.
Translating sophisticated logic into robust software. Experienced in high-performance systems programming, blockchain smart contracts, and data-driven algorithmic solving.