Summary
Hyunghun Cho is a Hematology AI leader and intelligence researcher with 11 years of experience applying AutoML and hyperparameter optimization to real-world problems. He combines a strong academic background—PhD work and postdoctoral research at Seoul National University—with a decade of industrial software engineering at Samsung, where he built test frameworks and automation for embedded devices. Currently based in Hwaseong-si, South Korea, he leads AI projects focused on hematology while drawing on deep expertise in Bayesian optimization, evolutionary algorithms, and AutoML. His work bridges rigorous research on "learning to learn" with production-ready systems, reflecting a rare mix of theoretical depth and engineering pragmatism. An often-overlooked strength is his long history of cross-domain development from IoT and web APIs to big data platforms, enabling him to translate complex research into deployable healthcare tools.
11 years of coding experience
10 years of employment as a software developer
박사, 컴퓨터 공학(소프트웨어), 박사, 컴퓨터 공학(소프트웨어) at 서울대학교 (Seoul National University)
Bachelor of Science (BS), Computer Science & Engineering, Bachelor of Science (BS), Computer Science & Engineering at 중앙대학교
Korean, English