The Nobel Prize-winning AlphaFold AI technology has revolutionized our ability to predict protein structures, providing unprecedented insights into critical biological phenomena. This breakthrough has marked the advent of a new era in life sciences, enabling direct observation of biological processes and establishing AI as a transformative tool in scientific research. Advanced AI systems, such as AlphaFold and medical AI solutions like ChatGPT, designed to address critical healthcare challenges, are underpinned by probabilistic theories like diffusion. These technologies have transitioned from theoretical constructs to indispensable tools with real-world applications. In healthcare, where precision is paramount, minimizing AI errors, achieving theoretical rigor, and ensuring interpretability are imperative.

Our lab is dedicated to developing foundational AI technologies with a focus on real-world applications in the medical and biotechnology sectors. Researchers rigorously validate advanced AI frameworks, such as those based on diffusion theory, through presentations at premier AI conferences, advancing their evolution into practical, commercially viable solutions for both healthcare and broader industries.

We are committed to cultivating leading experts recognized across both Core AI and Biomedical AI domains. Our mission is to produce global leaders who enhance national competitiveness and drive innovation in the digital healthcare era, contributing to academia, industry, research institutions, and hospitals. A particular focus is placed on advancing generative AI technologies rooted in diffusion and inverse problem theories, refining these frameworks for medical and general industrial applications. By bridging mathematics, computer science, biomedical engineering, medical sciences, and electrical engineering, we aim to develop highly specialized professionals capable of addressing complex challenges in interdisciplinary fields.