I am a Research Scientist, interested in understanding how deep neural networks perceive and process diverse visual concepts to enhance structured visual representations for real-world applications. I received my Ph.D. from Yonsei University in 2022 under the supervision of Hyunjung Shim. Following my doctoral studies, I worked as a Research Scientist at NAVER AI Lab from 2022 to 2025.
Ph.D. and M.S. in Integrated Technology
Yonsei University
B.S. in Integrated Technology
Yonsei University
I am interested in understanding how deep neural networks (DNNs) perceive, represent, and process diverse visual concepts—such as mood, emotion, style, and semantics—and their impact on decision-making. My research aims to uncover the underlying mechanisms behind these representations to develop more structured and expressive visual features.
By enhancing the interpretability and robustness of learned representations, I seek to improve performance in real-world downstream tasks, including scene understanding, affective computing, and content generation.