Youhan Lee

Youhan Lee is a talented AI/ML research scientist and engineer, specialized in chemical and biomolecular engineering and currently residing in Daejeon, South Korea. His academic rigor is backed by a Ph.D. and his industry expertise is highlighted by his achievements as a top-ranked Kaggle Grandmaster, which places him in the top 0.1% in the global data science community. Lee is not just a theoretician but also a certified Machine Learning Expert, acknowledged by the Google Developers Experts Program. His career is defined by a fusion of AI and molecular simulation, significantly impacting the field of material discovery.

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.

Lee’s educational background is equally impressive, with a Ph.D. and M.S. from KAIST, and a B.S. from Pusan National University, all in Chemical and Biomolecular Engineering. His scholarly contributions are notable, with several papers presented at top-tier conferences like NeurIPS MLSB, ICLR, and publications in high-impact journals, cementing his status as an authority in his field.

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.