Junyeong Park is a research scientist and Ph.D. student at KAIST School of Computing with nine years of experience bridging machine learning research and applied cybersecurity. Working with Prof. Sungjin Ahn, he focuses on systematic composition generalization and world models for model-based reinforcement learning, aiming to create human-like AI that learns efficiently. He has research roots as a research assistant at KIAS and practical security experience noted by affiliations with KISA and CISA. Based in Daejeon, South Korea, Junyeong combines rigorous academic training with hands-on experimentation in MBRL architectures and generalization benchmarks. His profile reflects a dual interest in trustworthy, compositional learning systems and real-world security applications—an uncommon pairing that informs robust, safety-conscious research.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at 한양대학교
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at 한국과학기술원(KAIST)
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Korea Advanced Institute of Science and Technology
Contributions:73 pushes, 1 branch, 1 comment in 2 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.