Summary
Kiung Jung is a compiler researcher and Ph.D. candidate at Yonsei University with around eight years of experience focused on deep learning compilers, instruction selection, and embedded DSLs. Currently affiliated with the University of Illinois Urbana-Champaign, he blends academic rigor with practical industry exposure from internships at Samsung Electronics and earlier roles at Kakao. His work centers on lowering ML models to efficient hardware-aware code, informed by both theoretical compiler techniques and hands-on systems implementation. Based in Seoul, he navigates between research and applied engineering, often exploring niche optimizations that bridge IR design and backend code generation. Colleagues note his ability to translate complex compiler theory into reproducible experiments and prototype tools that accelerate ML deployment.
8 years of coding experience
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Yonsei University