Summary
Hong-in Lee is a graduate student researcher at Yonsei University's AI department with eight years of hands-on experience bridging NLP and robotics for embodied AI, conversational agents, and autonomous systems. He has worked in both academic labs and industry research settings (LG AI Research, ADAS ONE), focusing on interactive instruction following, robotic navigation/manipulation, dialogue modeling, knowledge graphs, and RL-based methods. Technically fluent in PyTorch, HuggingFace, ParlAI, ROS, OpenCV, Gym/PyBullet, and SolidWorks, he combines perception, control, and language stacks to prototype embodied agents. His background in computer engineering (Konkuk University) and MS studies at Yonsei inform a pragmatic approach to research that emphasizes reproducible experiments and engineering-ready solutions. Notably, he has rotated between conversational intelligence and machine learning/control labs, giving him a rare cross-disciplinary perspective on grounding language in physical action. Based in Seoul, he is building toward research that tightly integrates commonsense reasoning and interactive robotics.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Engineering, 4.06 / 4.5, Bachelor's degree, Computer Engineering, 4.06 / 4.5 at Konkuk University
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Yonsei University