Summary
Yeongjin Jang is a staff research scientist with 11 years of experience specializing in systems security, automated vulnerability discovery, and GenAI security and privacy. Currently at Google DeepMind, he focuses on preventing misuse of AI models in cyberattacks, building on prior work at Samsung Research America where he led generative-AI-driven tools that found and helped patch vulnerabilities in Java open-source projects. His background spans static and dynamic analysis, reverse engineering, exploit development, trusted execution environments, and architectural side-channel research from both academic (PhD, Georgia Tech; assistant professor at Oregon State) and industry perspectives. He was a core contributor to a DARPA/ARPA-H AIxCC-winning team and has practical product-facing experience building secure apps and sandboxing solutions. Based in Mountain View, he combines rigorous research with hands-on engineering to translate cutting-edge security ideas into deployable defenses.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Georgia Institute of Technology
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Korea Advanced Institute of Science and Technology