Biography

After completing his doctoral studies on deep representation learning for out-of-distribution data, Min Gu Kwak served as a Postdoctoral Fellow at Georgia Institute of Technology, where he developed Artificial Intelligence (AI) models for various medical applications, including Alzheimer’s disease prediction, dental lesion detection and brain tumor characterization. In his role at SHRS, he focuses on developing clinical data warehouses and implementing Large Language Models (LLMs) in health care settings. His work centers on creating clinical LLM applications with advanced prompt engineering techniques that enhance clinicians’ workflow and improve patient care efficiency. His research spans multiple domains, including medical imaging analysis, Vision-Language Models and optimization of LLMs for specialized medical knowledge tasks. Through his work, he aims to bridge the gap between theoretical AI advancements and practical clinical applications that directly support health care providers in their daily practice.