Generative Intelligence Lab.
Career History
- 2010: B.S. Industrial and Management Engineering & Mathematics (Double Major), POSTECH
- 2012: M.S. Mathematics, POSTECH
- 2025: Ph.D. Electrical and Computer Engineering, Seoul National University
- 2025 : Assistant Professor, UNIST
- 2024 : Research Intern, NVIDIA Research
- 2023 : Research Intern, Microsoft Research Asia
Intro
Generative Intelligence Lab researches deep generative models and representation learning, encompassing both rigorous mathematical theory and practical AI applications. We focus on developing controllable and efficient generative frameworks and investigating the fundamental principles of data representation by leveraging mathematical tools such as probabilistic modeling, PDEs, and numerical analysis. In addition, we seek to address diverse real-world challenges by applying a generative perspective to their solutions. Our research aims to advance the underlying technologies that empower foundation models and solve diverse problems in visual intelligence. Furthermore, we also aim to translate our academic findings into meaningful impact within the industry.
Research Field
Generative Models, Representation Learning, Computer Vision, Deep Learning, Machine Learning, Industrial AI