Daehong Lee is a distinguished leader in the field of technology, currently serving as CEO of AIVIS Inc., leading the company's vision and strategy. With a robust background in electrical engineering from Korea University and a Ph.D. in Computer Vision and Image Processing, Dr. Lee brings extensive expertise to his role. His career includes significant experience as a senior researcher at Suprema Inc., where he developed advanced fingerprint and facial recognition solutions. In 2020, he managed the pioneering project of developing the world's first under-display fingerprint recognition solution, successfully integrated into devices like the Galaxy S10, A50, and A70, marking a milestone in the industry.

Nathan Bongjoon Cho is an experienced leader in medical AI and image-guided intervention technologies, joining AIVIS as Chief Artificial Intelligence Officer. He earned his Ph.D. in Computer Science from Johns Hopkins University, where he developed advanced algorithms for radiation treatment planning and robotic-guided procedures. Dr. Cho brings over 18 years of experience from global med-tech companies including Elekta, Medivis, JLK, and Noul, spanning deep-learning–based CT/MR analysis, cloud-based radiation therapy systems, and multiple FDA-cleared SaMD products. At AIVIS, he leads AI strategy and model development, driving the advancement of the company’s multi-biomarker quantification platform and strengthening its clinical-grade pathology AI capabilities.

Hyeongcheol An is a seasoned expert in cloud architecture and SaaS platform engineering, currently serving as CTO of AIVIS Inc., where he leads the company’s technical strategy and infrastructure innovation. He holds a Master’s degree in Information Security from KAIST, specializing in cryptography, and brings deep knowledge of scalable system design and secure computing. His career includes key roles at LG CNS, where he developed blockchain-based enterprise systems as part of an internal venture, focusing on software architecture and innovation, and at Archidraw, where heㅤ led the architecture of a 3D interior design SaaS solution with a strong emphasis on high-performance cloud platforms. At AIVIS, he is responsible for designing, building, and optimizing a microservices-based system, with a focus on cloud architecture and cost optimization. He continues to enhance engineering efficiency through DevOps practices, CI/CD automation, and comprehensive system observability.

Gyuyeong Kim is the CMO of AIVIS, where he designs products to address the practical problems faced by pathologists. Leveraging his medical experience, he ensures that AIVIS's solutions effectively meet users' needs. Dr. Kim was trained as a pathology resident at Samsung Medical Center and has conducted research in digital pathology, focusing on visual feature representation and evaluation metrics. He actively engages with the pathology community by attending and presenting at conferences, staying informed of the latest trends. This engagement allows him to lead our product development direction with cutting-edge insights and knowledge.