I am a Ph.D. student at KAIST Computer Vision and Learning Lab, advised by Prof. Tae-Kyun Kim. Previously, I received my M.S. in Computer Science and Engineering from POSTECH, advised by Prof. Daijin Kim.

My research interests lie in generative AI, multimodal learning, and physical AI, with a focus on building adaptive and reasoning-capable generative systems. Previously, I worked on controllable and personalized generative models for visual content, studying how pretrained diffusion and foundation models can efficiently adapt to new concepts, identities, and styles. Recently, I have become increasingly interested in video generative models, world models, and generative modeling for physical dynamics and embodied systems.

I am always open to discussions and collaborations!

Publications

    Work Experience

    • NAVER Cloud - Visual Generation Team (Resident)
      Oct 2025 — Apr 2026
    • NAVER Webtoon - Generative Model Team (Intern)
      Aug 2022 — Feb 2023

    Academic Services

    • Journal Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    • Conference Reviewer: NeurIPS, CVPR, ICCV, ECCV, AAAI, 3DV, ACCV