Yongjin Han
Research Member at KyungHee Deep learning Study Team
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolYongjin Han is a research-focused software engineer with nine years of experience studying trustworthy AI, fairness, and behavioral analysis of large models. Currently a research member at KyungHee Deep Learning Study Team and previously a graduate researcher at UC Davis, he blends academic rigor with practical security experience gained during service in a military CERT. His work spans fairness research, secure software and programming languages, and hands-on research assistance under multiple professors in Korea and the U.S. Based in Seoul, he brings cross-cultural research perspectives informed by a Master’s in Computer Science from UC Davis and a BS from Dongguk University. Notably, his profile reflects a rare mix of applied security operations and algorithmic fairness research, positioning him to translate theoretical trustworthiness into operational safeguards.
9 years of coding experience
2 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of California, DavisBachelor of Science - BS computer science and engineering, Bachelor of Science - BS computer science and engineering at Dongguk University
Github Skills (7)
alpha-beta5
formal-verification3
robustness3
deep-learning2
gpu1
scalable1
neural-network1
Programming languages (3)
Github contributions (5)
Dalnaracrater/DalnaraCrater1
Feb 2020 - Dec 2023
공부 블로그입니다 :)
Contributions:3 PRs, 55 pushes, 3 branches in 3 years 10 months
Dalnaracrater/Algorithm
Jul 2020 - Apr 2021
Contributions:12 pushes, 1 branch in 9 months
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