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.

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 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.

Nayoung Ku is currently an undergraduate researcher at CCADD, following the successful completion of her internship program. She is pursuing studies in life science and AI convergence at Handong Global University, with a previous Bachelor's degree in psychology. Nayoung specializes in developing prediction modeling and optimization algorithms with diverse datasets.

Her research includes work at the Biodata Laboratory developing cancer diagnostic machine learning models, and she received the Daewoong Pharmaceutical CEO Award at the JUMP AI 2024 Drug Discovery Competition for her team's work on IRAK4 inhibitor prediction.

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.

Suhyun An is currently an undergraduate researcher at CCADD after completing the 2024 winter internship program. She is majoring in  Stem Cell and Regenerative Biotechnology at Konkuk University . Her recent interests lie in research utilizing large language models and deep neural networks, with a particular focus on AI-based drug discovery. More specifically, she focuses on the applications of drug-drug interactions and PK/PD modeling. Her research goal is to leverage these technologies to predict drug toxicity using clinical notes, as well as explore machine learning models for drug repurposing.

Seoyoon Jang is currently an undergraduate researcher at CCADD after diligently completing the 2024 winter internship program. Seoyoon Jang is majoring in Systems Biotechnology at Chung-Ang University. Her research interests include generating real-world evidence (RWE) based on real-world data (RWD) using electronic medical records (EMR) and regulatory science. During her internship, she became proficient in R and gained hands-on experience with both representation and generative LLM models.

Yura Choi is currently an undergraduate researcher at CCADD after successfully completing the 2024 Winter Internship Program. She is majoring in Chemistry at Kyung Hee University. During her internship, she participated in developing a deep learning-based Drug-Drug Interaction (DDI) prediction model, utilizing protein information to enhance model performance. Through this project, she gained hands-on experience in data processing, programming, and predictive modeling. She continues to explore various approaches to DDI prediction modeling and has a growing interest in ADMET prediction and PK/PD modeling. She aims to apply AI-powered data analysis to contribute to novel drug development strategies and innovations. 

Keun-Ae Song is an accountant and administrative assistant to Prof. Howard Lee. Keun-Ae started working at CCADD in July, 2020. Her main duties are budgeting, expense tracking and filing for the research projects of CCADD. She is also responsible for supporting general office tasks such as scheduling and coordinating meetings and events.