This winter, CCADD welcomes six interns- Minsol Kim, Suhyun An, SeoYoon Jang, Seeun Park, Yura Choi and Nayoung Ku -  for the 2025 Winter Internship Program.

Minsol Kim is majoring in veterinary medicine at Seoul National University. She is interested in exploring the application of domain knowledge in the process of AI model development by utilizing her knowledge of pharmacology, toxicology, and physiology. Her goal is to build a solid foundation in AI and gain hands-on experience analyzing clinical data and investigating the drug development process. Through the 2025 CCADD winter internship program, she aims to explore potential career paths in the field of drug discovery.

Suhyun An is a student majoring in Stem Cell and Regenerative Biotechnology at Konkuk University. She previously worked as an undergraduate researcher in the Immunopharmacology Laboratory at Seoul National University College of Medicine, where she studied drug toxicity. Her current research interests include Drug-Drug Interactions (DDIs) and drug repurposing using artificial intelligence (AI). Her previous training primarily involved wet lab research. The CCADD internship will allow her to gain experience in data science applied to drug development, which will serve as a critical foundation for achieving her future research goals.

SeoYoon Jang is majoring in Systems Biotechnology at Chung-Ang University. She has a keen interest in AI and data science, which led her to complete the 2024 Boostcourse <DATA SCIENCE PROJECTS> coaching study program. Subsequently, she developed an interest in drug delivery and interned at the Lab of Drug Delivery and Cell Therapy at Sungkyunkwan University School of Medicine. Her growing passion for integrating AI into drug development led her to a winter internship at the CCADD. Through this internship, she aims to gain proficiency in data analysis tools and deepen her domain knowledge, with the goal of becoming a researcher specializing in AI-driven drug development.

Seeun Park is a senior at Yonsei University, double majoring in Biotechnology and Public Administration. She is willing to explore clinical pharmacology and regulatory science during this winter internship program. With passion in healthcare and safety, she focuses on gaining more experience and knowledge on artificial intelligence for clinical drug development and more specifically epigenetic study and policy analysis in Korea. It is her goal to work on expertise for the improvement of disease prevention and control.

Yura Choi is an undergraduate student in the Department of Chemistry at Kyung Hee University. She is passionate about AI-driven drug development, applying data science to pharmaceutical research. Through the LAIDD program, she has gained valuable insights into how AI can be applied to drug development. She aims to contribute to drug development and explore innovative therapeutic modalities by leveraging AI-driven data analysis. Currently, she is participating in the CCADD winter internship to strengthen her AI and data science expertise and deepen her understanding of research in drug development.

Nayoung Ku is an undergraduate in life science and AI convergence at Handong Global University. She previously earned a Bachelor’s degree in psychology at the National Institute of Lifelong Education by Examination for Self-Education. Nowadays, Nayoung mainly develops prediction modelling and optimization algorithms with various datasets. She had been a research assistant at Biodata Laboratory, Handong Global University, focusing on cancer diagnostic machine learning models using tumour-educated platelet (TEP) RNA-seq data for a year. Recently, she did a capstone project on NLP for an ovarian cancer diagnostic model using TEP RNA-seq pre-processed data, which showed her creativity in analytic approach. She received the Daewoong Pharmaceutical CEO Award at the JUMP AI 2024 Drug Discovery Competition, sponsored by the Korea Pharmaceutical and Bio-Pharma Manufacturers Association. In the competition, Nayoung and her team developed an advanced multi- perceptron to predict IC50 values for IRAK4 inhibitors by applying novel and strategic approaches to accelerate drug discovery processes. With her enthusiasm for enhancing the efficiency of drug discovery, she participates in this internship to experience real-world clinical data and its analysis, like electronic medical records. With a heart of admiration, she is yearning to learn the extraordinary methodology of CCADD. 

We hope that during their winter internship, they will build confidence in their area of expertise, develop independent learning skills to explore new knowledge, and dedicate their enthusiasm to gaining a comprehensive understanding of drug development and regulatory science throughout these two months.