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About

Dongseon Lee is pioneering the intersection of artificial intelligence and organic chemistry, with a primary focus on autonomous robotic synthesis and computational retrosynthetic planning. His landmark 2023 work on an AI-driven robotic chemist for autonomous organic molecule synthesis, which has garnered 91 citations, represents a transformative contribution to the field. By integrating automation with autonomous decision-making, Lee’s system dramatically accelerates the development of organic compounds, reducing human intervention while enhancing efficiency and reproducibility. This breakthrough positions him at the forefront of efforts to create self-driving laboratories for chemical discovery. Additionally, Lee has tackled critical challenges in computer-aided retrosynthetic planning, addressing the class imbalance problem in large synthetic databases through innovative data undersampling models (2021). His work directly supports the backbone of autonomous robotic chemists, improving the reliability of rule-based predictions for molecular synthesis pathways. Lee’s research not only advances fundamental methodologies in organic synthesis but also provides practical tools for accelerating drug discovery and materials science. His contributions are shaping the future of automated chemical research, making him a key figure in the emerging field of AI-driven chemistry.