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 develop robust machine learning models that can be applied to real-world scenarios.
My recent research interest involves understanding how to learn robust representation under domain distributional shift with large-scale multimodal models (e.g. Vision-Language Models (VLMs)) and how to learn robust representation with self-supervised learning using multi-modal data in practical domains.

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