Education & Experience

Soonchunhyang University, South Korea

• Advisor: Prof. Woo Ji-Young
• Lab: Advanced Data Mining Lab (ADM Lab)

Soonchunhyang University, South Korea

• Dissertation: WBC YOLO-ViT: 2-Way 2-Stage White Blood Cell Detection and Classification with a Combination of YOLOv5 and Vision Transformer [Paper] [View Thesis]
• Advisor: Prof. Woo Ji-Young
• Lab: Advanced Data Mining Lab (ADM Lab)

United African University of Tanzania

Advisor: Prof. Woo Ji-Young

• White Blood Cell Classification and Segmentation — conducted research on classification and segmentation of white blood cells using machine learning models, focused on improving hematological diagnostics through advanced image-processing techniques.
• Generative Adversarial Networks for Medical Data — developed GAN-based approaches for generating realistic white blood cell images to augment limited medical datasets and improve model performance in medical diagnostics.

Advisor: Prof. Woo Ji-Young

• Domain Adaptation in Medical AI — developing transfer learning and domain adaptation methods for generalizing medical imaging and healthcare models across clinical sites, imaging protocols, and patient populations.
• Medical Report Generation & RAG for Clinical Decision Support — building LLM-based systems that produce structured clinical reports and physician-style patient summaries, grounded in verified medical literature via Retrieval-Augmented Generation.

Advanced Data Mining Lab (ADM Lab), Soonchunhyang University, South Korea.

Job description: Developing medical AI systems for blood-cell image analysis, domain adaptation across clinical sites, multimodal report generation, and RAG-based clinical decision-support workflows, working with Prof. Woo Ji-Young.

Tokyo University of Agriculture and Technology, Japan.

• Completed the program at Tokyo University of Agriculture and Technology, held from September 6-11, 2026.
• Worked in an international, interdisciplinary setting focused on transforming economies and societies with bio-science and technology.
• Received the Interdisciplinary Innovation Award.