About Me
I am Youngjin, a Junior Machine Learning Engineer. My research focuses on developing efficient and trustworthy AI systems 🖥️ that contribute to solving real-world challenges—like protecting polar bears and our society 🐻❄️🌏. Recently, I have been focusing on optimization techniques and multimodal learning, particularly safety in vision-language models. I aspire to practice Trust, reliability, and safety in AI ft. Daniela Amodei of Anthropic and Sonya Huang — valuing thoughtful, careful, and responsible research.
Interests
- Multimodal learning
- Safe and Trustworthy AI Systems
- Efficient neural networks
- Quantum Machine Learning
Education
- 🎓 MSc. in Machine Learning in Science, 2024
University of Nottingham (UoN), Nottingham, UK - 🎓 BEng. in Computer Media Engineering, 2020
Kangnam University (KNU), Yongin, S.Korea
🎉 News
- [Nov 24 2025] 🎓🎓 Completed ICT Innovation Square's Quantum Machine Learning course (160hrs)
- [Sep 20 2025] 🎉🎉 One paper on multi modal safety is accepted to the SafeMM-AI Workshop, ICCV 2025
📚 Publications
SIA: Enhancing Safety via Intent Awareness for Vision-Language Models
Youngjin Na*, Sangheon Jeong*, Youngwan Lee*, Jian Lee, Dawoon Jeong, Youngman Kim
International Conference on Computer Vision (ICCV) 2025 Workshop on SaFeMM-AI.
[paper]