Professionally, Lee leads the AI Drug Discovery Team at Kakao Brain Corp., where he has been pivotal in reproducing and developing various foundational models for proteins, particularly protein and antibody-specific language models like BERT, GPT2, and Fill-in-Middle models. His innovative work extends to the cutting edge of machine learning and structural biology, where he has made strides in drug discovery and design by developing advanced models and collaborative projects. Lee’s leadership is marked by the successful management of the AI drug discovery team, fostering the growth of doctoral researchers and interns.
Beyond his research and publications, Lee is equipped with a robust set of skills relevant to AI and computation-chemistry. His technical acumen spans TensorFlow, Pytorch, and cloud services like AWS, GCP, and Azure. He provides professional services as a reviewer for renowned conferences, underlining his commitment to the advancement of AI in biology. Lee’s career is a testament to the blend of deep scientific knowledge and practical expertise, making significant contributions to both the scientific community and the industry at large.