Inbo Lee is a distinguished leader and innovator in the field of Artificial Intelligence, currently serving as the Head of AI at Toss, South Korea's leading fintech unicorn. With a robust background in both cutting-edge research and entrepreneurial leadership, he is focused on applying AI to transform financial services, enhance user experience, and drive business growth. Before joining Toss, Inbo Lee co-founded VUNO Inc., a pioneering medical AI company, where he served as CEO. Under his guidance, VUNO developed and commercialized several award-winning AI solutions for medical image analysis, achieving significant milestones including regulatory approvals and international market penetration. His earlier career includes a significant tenure as a Research Staff Member at Samsung Advanced Institute of Technology, where he contributed to foundational research in machine learning and pattern recognition. Inbo is known for his vision in translating complex AI concepts into practical, impactful applications and for his ability to build and lead high-performing technical teams.
Inbo Lee's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
As Head of AI at Toss, Inbo Lee is spearheading the integration of advanced artificial intelligence and machine learning capabilities across Toss's diverse suite of financial services. This involves developing innovative AI-driven products for personalized finance, risk management, fraud detection, and customer service, aiming to solidify Toss's position as an AI-first fintech leader.
Co-founded VUNO in 2014 and successfully scaled the company as its CEO until 2021. Under his leadership, VUNO became a prominent medical AI company, developing AI solutions for medical imaging that received regulatory approvals (e.g., KFDA, CE mark) and were adopted by hospitals in South Korea and internationally, significantly contributing to early disease detection and diagnostic accuracy.
Led the development and commercialization of multiple AI-based medical diagnostic support software at VUNO, covering areas like chest X-ray analysis, funduscopy, and bone age assessment. These solutions have won numerous awards and demonstrated tangible benefits in clinical settings.
During his time at Samsung Advanced Institute of Technology (SAIT) from approximately 2009 to 2014, he was involved in research and development of machine learning algorithms and AI technologies, contributing to Samsung's early advancements in the AI domain.
W. P. Carey School of Business – Arizona State University - Year 1994
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