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Juho Jung I am a Research Scientist (Alternative Military Service) at VUNO Inc. My research focuses on uncertainty aware multimodal LLMs adaptation in medical image and improving uncertainty quantification of LLMs and hallucinations in real world environments. Before joining VUNO I obtained my Master's from the Graduate School of Applied Artificial Intelligence at SKKU (Full Academic Excellence Scholarship), under the supervision of Prof. Jinyoung Han, where I researched uncertainty-aware Multitask Learning in Medical image and Multimodal Feature Alignment in complex and unknown modality. I completed my bachelor's degree (Magna Cum Laude) in Applied Artificial Intelligence at the SKKU. I had the privilege of working with Zhi-Qi Cheng, Alexander Hauptmann, and David Mortensen as a Visiting Scholar in the School of Computer Science Intensive Program in AI at Carnegie Mellon University. Email | CV | Google Scholar | Github | LinkedIn |
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Research InterestsI am interested in advancing uncertainty-aware multimodal learning for medical imaging. My work explores how to adapt large vision-language models to clinical data, quantify and calibrate their uncertainty, and mitigate hallucinations in real-world medical settings. My current research emphasizes:
• Vision-Language Models for medical imaging |
Selected Publications(Equal contributions are denoted by *) |
For more publications, please visit my Google Scholar profile.
Selected Projects |
For more projects, please see my CV.
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