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    Kyeong-Ryoon Lee, PhD

    Dr. Kyeong-Ryoon Lee is a research scientist at Korea Research Institute of Bioscience and Biotechnology (KRIBB). Dr. Lee also serves as an Visiting Associate Professor at the Graduate School of Convergence Science and Technology, Seoul National University. He received his PhD in Pharmaceutical Science at Seoul National University with a dissertation, entitled "Neuropharmacokinetic analysis and delivery strategy for drugs targeted to the central nervous system". Dr. Lee's research interests include pharmacokinetic/pharmacodynamic modeling and simulation, artificial intelligence for drug discovery and development, analysis of big data, and model-based translational research in preclinical and clinical studies.

    Previously, Dr. Lee received a Bachelor's degree in chemical engineering from Chungnam National University. He has the distinction of achieving the Microsoft Certified System Engineer (MCSE) and Microsoft Certified Database Administrator (MCDBA) certifications, both of which are known as one of the most well-known and trusted Microsoft Certifications in the field of IT. After completing his PhD at Seoul National University, Dr. Lee served as a Postdoctoral Fellow at Korea Research Institute of Chemical Technology (KRICT), followed by Rutgers, The State University of New Jersey in USA. Dr. Lee had a 4 year real-world experience at Korea's Daewoong Pharmaceutical Company as a researcher. Meanwhile, Dr. Lee also was a visiting scientist at RIKEN, Japan's largest comprehensive research institution.

    David Seung U Lee, MSc

    David Seung U Lee is a PhD student at the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science, Seoul National University. As an MMBS major, he received Master's of Science in Medicine in 2023. He joined CCADD during the 2021 Winter Internship Program. His research interest lies in generating Real-World Evidence (RWE) through causal inference using Real-World Data (RWD), such as electronic health records (EHRs). Moreover, he is interested in machine learning models for drug repurposing.


    Yujin Kim

    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.


    During her time as an intern at CCADD in the summer 2022, she was able to improve her proficiency in coding languages like Structured Query Language (SQL) and Python. Also, she gained a hands-on experience in conducting research using Real-World Data (RWD) such as electronic medical records (EMR), during which she cleaned and curated datasets containing preion records, laboratory test results, and medical diagnosis. Through these experiences, Yujin was inspired to become a member of CCADD and study more deeply about RWD and the applications of AI in the field of medicine.

     

    Currently Yujin is part of a few ongoing research projects at CCADD. Just as she has provided a valuable support for the team, we hope this experience will turn out to be a valuable learning opportunity for her going forward.


    Seoyoon Jang

    Seoyoon Jang is enrolled in the Integrated Ph.D. Course at the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science and Technology, Seoul National University. She previously worked as an undergraduate researcher at CCADD after completing the 2024 Winter Internship Program. Seoyoon Jang majored in Systems Biotechnology at Chung-Ang UniversityHer research interests include generating real-world evidence (RWE) from real-world data (RWD) using electronic medical records (EMR) and AI-based drug development. Through her internship, she became proficient in R, and during her undergraduate research experience, she further developed her research skills by working with a variety of LLM models.

    Before joining CCADD, she complete the 2024 Boostcourse <DATA SCIENCE PROJECTS> coaching study program. She also worked as an summer intern at the Lab of Drug Delivery and Cell Therapy at Sungkyunkwan University School of Medicine.


    Suhyun An

    Suhyun An is a Master’s student at the Department of Molecular Medicine and Biopharmaceutical Science (MMBS), Graduate School of Convergence Science, Seoul National University.

    Her research centers around Medical Decision Making and AI-based drug discovery using large language models and deep neural networks, with a focus on adverse drug reactions and drug–drug interactions.

    Suhyun An participated in CCADD during the 2024 Winter Internship Program and gained experience in real world data preprocessing, and machine learning. After the internship, Suhyun An continued as an undergraduate researcher at CCADD and participated in projects analyzing real-world data, including electronic medical records and clinical notes. These projects improved skills in natural language processing, applications of Large Language Models, and programming languages like R, Python, and Structured Query Language (SQL).

    Before joining CCADD, Suhyun An majored in Stem Cell and Regenerative Biotechnology at Konkuk University and developed in vivo and in vitro experimental skills at Seoul National University College of Medicine.

    Seeun Park

    Seeun Park is currently an undergraduate researcher at CCADD. She became an undergraduate student researcher after successfully completing the 2024 Winter Internship program. She is a Bioengineering major 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.


    Soyoung Park

    Soyoung Park is an undergraduate researcher at CCADD after completing the 2025 Summer Internship program. She is a double major in Material Science and Engineering and Industrial and Data Engineering at Hongik University. During her undergraduate years, she was able to combine a strong foundation in engineering with advanced data analysis skills. During the internship, she participated in the research projects, where she gained experience in causality assessment for drug safety and developed a broader understanding of the overall drug development process. Building on these experiences, she is now exploring AI-driven approaches to drug development, with a particular interest in drug–drug interaction prediction and explainable machine learning, aiming to contribute to the advancement of safer and more effective drug development.


    Minseop Yeom

    Minseop Yeom is currently an undergraduate researcher at CCADD after completing the 2025 Summer Internship Program. He majors in Biotechnology and Big Data Convergence at Sangmyung University. During the internship, he gained foundational domain knowledge in AI-driven drug development and also partook in the research projects using large language models (LLMs) in various stages of drug development. He is particularly interested in AI-driven approaches to ensure medical-data integrity and detect anomalies. Ultimately, his goal is to contribute to biomedical research by leveraging emerging AI technologies.


    Sunyoung Lee

    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.


    Chaeyoung Chang

    Chaeyoung Chang is an undergraduate researcher at CCADD, after completing the 2025 Summer Internship Program. She majors 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.



    Sungwook Choi

    Sungwook Choi completed the 2025 Summer Internship Program at CCADD and is currently working as an undergraduate researcher. He majored in Software Engineering and Business Administration at Konkuk University. During his undergraduate studies, he authored a thesis titled “Risk Evaluation of Adverse Events Associated with Dupixent in COPD Patients”, in which he conducted survival analysis using a spontaneous reporting database provided by the FDA Adverse Event Reporting System. His current goal at CCADD is to deepen his understanding in causal inference for generating real-world evidence (RWE) and in drug–drug interaction research.


    CCADD

    Center for Convergence Approaches in Drug Development, Graduate School of Convergence Science and Technology, Seoul National University

    Room C-208, 145 Gwanggyo-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, 16229, SOUTH KOREA (Gwanggyo)

    Room 406, Building 17, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, SOUTH KOREA (Yeon-gun)

    Tel: +82-31-888-9189 (Gwanggyo); +82-2-3668-7381 (Yeon-gun)

    Fax: +82-31-888-9575

    Email: ccadd.snu@gmail.com