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
Double majoring in Physics and Integrated Technology — the overlap between theory and implementation shapes how I approach both research and product work.
Coursework in quantum mechanics, electromagnetics, and classical mechanics. Comfortable with mathematical analysis across quantum and classical regimes.
Microelectronics, signals processing, operating systems, and digital logic design. Hands-on experience bridging hardware and software.
Python for research and prototyping, C/C++ for systems programming, Move for smart contracts, Rust for performance-critical code. LaTeX for academic writing.