Youngseok Choi

Graduate Student

Youngseok is interested in applying AI and bioinformatics to uncover the biological processes underlying neurodevelopmental disorders (NDDs) such as Autism Spectrum Disorder (ASD). Currently, Young Seok is working on a research project that aims to explain the biological mechanisms behind ASD by leveraging single-cell transcriptome data and deep learning frameworks.영석은 AI와 생물정보학을 활용하여 자폐 스펙트럼 장애(ASD) 등 신경발달 장애(NDDs)의 생물학적 과정을 규명하는 데 관심을 가지고 있습니다. 현재 단일세포 전사체 데이터와 딥러닝 프레임워크를 활용하여 ASD의 생물학적 기전을 설명하는 연구 프로젝트를 수행하고 있습니다.

As a co-first author of a 2026 review in Clinical and Molecular Hepatology, Youngseok examined how generative, dynamics, and pretrained single-cell models could support AI virtual cells for the liver. The review emphasizes testing predictions of unseen perturbations against independent biological measurements.영석은 2026년 Clinical and Molecular Hepatology 리뷰의 공동 제1저자로서 생성, 동역학, 사전학습 단일세포 모델이 간 AI 가상세포 연구에 어떻게 기여할 수 있는지 검토하였습니다. 이 리뷰는 새로운 섭동 반응에 대한 예측을 독립적인 생물학적 측정으로 검증해야 함을 강조합니다.

Education & Training학력

2026-present Ph.D. candidate, Department of Integrated Biomedical and Life Science, Korea University2026-현재 박사 과정, 고려대학교 의생명융합과학과
2025-2026 Intern, Department of Integrated Biomedical and Life Science, Korea University2025-2026 인턴, 고려대학교 의생명융합과학과
2021-2023 M.Sc. in Department of Agriculture and Life Science, Seoul National University2021-2023 석사, 서울대학교 농생명과학부
2012-2020 B.Sc. in Applied Biology with Biotechnology, Hong Kong Polytechnic University2012-2020 학사, 홍콩폴리테크닉대학교 응용생물공학

Publications논문

Choi YS∗, Koh IG∗, Choi M, An JY†, Toward AI Virtual Cells for Hepatology: Representation, Generation, Dynamics, and Intervention in Single-Cell Models, Clinical and Molecular Hepatology, 2026
Koh IG, Chang E, Choi YS, Kim SW, Kim Y, Lee H, Byeon G, Ryu Y, Kim S, Lee J, Park H, Sim H, Ryu Y, Shim W, Lee J, Salazar NB, Mendes de Aquino M, Engchuan W, Zhou X, Son JH, Lee J, Bong G, Kim IB, Han JH, Werling DM, Kim SH, Oh M, Kim MS, Lee D, Kim J, Lee YS, Sun W, Kim E, Scherer SW, Jeon M, Yoo HJ, An JY, AI-driven framework modeling perturbation in brain organoids reveals candidate genes for autism, bioRxiv, 2026
Choi YS∗, An JY†, Hepa-RAFT: Retrieval-Augmented Virtual Hepatocyte Responses for Hepatotoxicity Prediction, ICML 2026 GenBio Workshop, 2026
Choi YS∗, Ahn SJ∗, Park MK, Lee SB, Cho SA, Kim HB†, HGTree v2.0: a comprehensive database update for horizontal gene transfer (HGT) events detected by the tree-reconciliation method, 2023.
Jeon SM∗, Kim HK∗, Kim J, Seol DH, Jo JC, Choi YS, Cho SA, Kim HB†, Positive effect of Lactobacillus acidophilus EG004 on cognitive ability of healthy mice be fecal microbiome analysis using full-length 16S-23S rRNA metagenome sequencing, 2022.
Jeon SM∗, Kim HK∗, Choi YS, Cho SA, Seo M, Kim HB†, Complete genome sequence of the newly developed Lactobacillus acidophilus strain with improved thermal adaptibility, 2021.