Minho Noh

Hi! I’m Minho Noh. I am currently an AI Researcher at Samsung Medical Center, Department of Gastroenterology, where I develop multimodal AI models for the precision diagnosis of rare liver diseases. I received my M.S. in Computer Science and Artificial Intelligence from Dongguk University (Major GPA 4.18/4.5), and my B.S. in Computer Science from Kwangwoon University.

My research centers on AI for Omics. Building on my earlier work in single-cell and spatial transcriptomics — including DEG/DA analysis, spatial domain clustering, and biomarker discovery via multi-omics integration — I have developed interpretable multimodal models (XAI) that combine histopathology images with biological knowledge such as KEGG pathways. This line of work was published in Briefings in Bioinformatics (IF 7.7, JCR top 2.2%).

I am currently extending this direction in two ways: (1) multimodal AI for rare liver disease diagnosis, integrating histopathology, transcriptomics, and clinical data; and (2) a multi-agent framework for automated multi-omics analysis (MAMA), built on LangGraph with debate-style reasoning and RAG-based interpretation.

My broader research interests include multi-modality, multi-omics analysis, agentic AI, computer vision, and graph learning — and how these can come together to make AI both more capable and more interpretable in real clinical settings.

If you’d like to connect, please feel free to reach out via email or GitHub.