David Seung U Lee is a postdoctoral researcher at CCADD. He received an Msc. and PhD in Medical Science from the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science, Seoul National University. His research area includes AI-driven drug development and clinical natural language processing.

Yujin Kim is a bio-medical engineering major at the department of Integrative Engineering, Chung-Ang University. She became an undergraduate student researcher at CCADD after successfully completing the 2022 Summer Internship program. Before this, she studied the fundamentals of drug development while participating in AMIST Drug Development Online Summer School program in 2021. At CCADD, she intends to explore diverse ways to integrate her engineering and biological knowledge with artificial intelligence (AI) technology and discover solutions to overcome limitations in medical data.

Sunyoung Lee is a Master’s student at the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science, Seoul National University. She is a registered nurse who earned her nursing degree from Ajou University and gained clinical experience at Seoul National University Hospital. She later worked as a Clinical Project Leader at the Development Center of Daewoong Pharmaceutical Company and partook in the clinical research of Fexuprazan and URSA. With her growing interest in real-world data (RWD) and real-world evidence (RWE), she joined CCADD during the 2025 Summer Internship Program to further explore the field and develop her research competencies.

Seeun Park is a Master’s student at the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science, Seoul National University. She previously worked as an undergraduate researcher at CCADD after completing the 2024 Winter Internship Program. She majored in Bioengineering at Yonsei University. She was able to gain knowledge and hands-on experience on artificial intelligence for clinical drug development by the project “Improving the Generalizability of Natural Language Process Models to Extract Drug Safety Information from Clinical Notes”. With passion in healthcare and safety, she focuses on exploring clinical pharmacology and regulatory science more specifically Real-World Data (RWD) and policy analysis in Korea. It is her goal to work on expertise for the improvement of disease prevention and control.

Chaeyoung Chang is a Master’s student at the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science, Seoul National University. She was an undergraduate researcher at CCADD, after completing the 2025 Summer Internship Program. She majored in Chemistry at Konkuk University. During the internship, she gained experience in leveraging large language models for regulatory applications and real-world data analysis. She aims to apply AI to advance drug development and generate clinical evidence from real-world data.