Jungwon Choi (최중원)

I am a PhD student at Statistical Inference and Machine Learning (SIML) Lab. in KAIST, working on Domain Generalization and Self-supervised Learning in Computer Vision and Dynamic Graphs. I am extremely fortunate to be advised by awesome supervisor Professor Juho Lee. My primary research goal is to build ML/DL models that can learn robust representations and be applied to real-world scenarios.
My recent research interest focuses on understanding how to learn robust representations under domain and modal distributional shifts using large-scale multimodal models, such as Multimodal Large Language Models (MLLMs). I am particularly interested in applying self-supervised learning to practical domains and analyzing time-series data in these contexts.

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Website source from George Cazenavette