PROFILE

I’m currently a research assistant professor at the Artificial Intelligence Institute, Seoul National University.
My research focuses on bioinformatics to develop AI-based bio-medical tools for human beings.

  • Research Assistant Professor at the AIIS, Seoul National University

  • Location : Building 942, 2nd Floor, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
  • E-mail : iykim@snu.ac.kr

EDUCATIONS

2014.03. – 2020.08.
Ph.D. in Computer Science and Engineering, Seoul National University, Seoul, Korea
[Ph. D. Dissertation] Computational analysis of biological pathways in breast cancer subtypes: a visual exploration system and a probabilistic framework

1999.03. - 2001.02.
MS in Electrical Engineering and Computer Science, Seoul National University, Seoul, Korea
[MS. Dissertation] A study on Hidden Markov Models for Intrusion Detection

1994.03. - 1998.08.
BS in Computer Engineering, Seoul National University, Seoul, Korea

EXPERIENCES

2021.09. – present. Research Assistant Professor at the AIIS, Seoul National University, Seoul, Korea

2022.06. – 2022.12. Operator of AI-BIO Educational Program at the AIIS, Seoul National University, Seoul, Korea[link]

2020.09. – 2021.08. Senior Researcher at Bio-MAX/N-Bio institute, Seoul National University, Seoul, Korea

2001.03. – 2007.03. Samsung Electronics Mobile Division, Suwon-si, Gyeonggi-do, Korea

RESEARCHES

2021.06. – present. Development of an integrated analysis system for the biomarkers of autism spectrum disorder diagnosis. Supported by the Basic Science Research Program through the NRF funded by the Ministry of Education (2021R1I1A1A0106138312)[link]

2020.09. – present. Computational analysis of B cell receptor repertoires in COVID-19 patients using deep embedded representations of protein sequences. Supported by the K-BIO KIURI Program of the National Research Foundation funded (NRF) by the Ministry of Science and ICT (NRF-2020M3H1A1073304)[link]

2019.07. – 2021.02. Development of a probabilistic framework for the computational analysis of biological pathways in breast cancer subtypes.

2018.03. – 2019.07. Agglomerate hierarchical clustering with high dimensionality

2017.01. – 2017.05. Differentially Expressed Gene Analysis for targeting skin aging factor

2015.10. – 2018.02. Development of a structural integration and visualization system of TCGA breast cancer data on KEGG pathways.

2015.02. – 2015.08. Prediction of protein-protein interaction (CBL-CIPK) by Information theory

PUBLICATIONS

International Articles (Journal Papers / Conference Proceedings)

Lee AC, Lee Y, Choi A, Lee H, Shin K, Lee H, Kim J, Ryu H, Kim H, Ryu S, Lee S, Cheun J, Yoo D, Lee S, Choi H, Ryu T, Yeom H, Kim N, Noh J, Lee Y, Kim I, Bae S, Kim J, Lee W, Kim O, Jung Y, Kim C, Song S, Choi Y, Chung J, Kim B, Han W, Kwon S*. "Spatial epitranscriptomics reveals A-to-I editome specific to cancer stem cell microniches" Nature Communications 13.1 (2022): 1-12. [link]

Kim I, Lee S, Kim Y, Namkoong H, Kim S*. "A probabilistic model for pathway-guided gene set selection" 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021 Dec 10, [link]

Ahn H, Jung I, Chae H, Oh M, Kim I, Kim S*. "IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data" 2021 IEEE International Conference on Big Data (Big Data), 2021 Dec 15, [link]

Kim I, Choi S, Kim S*. "BRCA-Pathway: a structural integration and visualization system of TCGA breast cancer data on KEGG pathways". BMC bioinformatics 19.1 (2018): 63-72. [link]

* : Correspondence

International Conference Presentations

Kim I, Lee S, Kim Y, Namkoong H, Kim S*. "A probabilistic model for pathway-guided gene set selection". 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021 Dec 10, [link]

Ahn H, Jung I, Chae H, Oh M, Kim I, Kim S*. "IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data" 2021 IEEE International Conference on Big Data (Big Data), 2021 Dec 15, [link]

Kim I, Choi S, Kim S*. "BRCA-Pathway: a structural integration and visualization system of TCGA breast cancer data on KEGG pathways". The 28th International Conference on Genome Informatics (GIW), Seoul, Korea, 2017 Oct 31.[link]

* : Correspondence

Domestic Articles

공현승, 김인영*, 김동민, 장병탁*. “인공지능 기반 신약 개발에서 사용하는 단백질 임베딩 방법에 대한 비교 연구”. 한국정보과학회 2022년 한국컴퓨터종합학술대회 논문집 Vol.2022, No.6 [2022], pp.633-635.

공현승, 김인영*, 장병탁. “소규모 데이터세트에서 강건성을 유지하는 hERG 연관 심장독성 예측 딥러닝 아키텍처”. 한국정보과학회 컴퓨팅의 실제 논문지 Vol.28, No.6, pp.339-347. [2022]

김인영. “DTC 유전자를 활용한 개인 맞춤 서비스의 최신 동향”. BRIC View 동향리포트, BRIC VIEW 2021-T29 [link]

김인영*, 김동민, 김상엽, 변상윤. “딥러닝 기반 단백질 서열 임베딩을 이용한 BCR 레퍼토리 분석”. 한국정보과학회 2021년 한국컴퓨터종합학술대회 논문집 Vol.2021 No.6 [2021], pp.618-620.

김인영, 최새미, 김선*. "관계형 데이터베이스 모델링과 REST API 기반 사용자 친화적 생물학적 데이터 추출 시스템", 한국정보과학회 2016 동계학술대회발표논문집, Vol.2016, pp.1195-1197.

* : Correspondence

LECTURES

Machine learning

"Machine Learning Applications and Practices", 2022 Spring semester, Graduate School of Education, Seoul National University of Education [syllabus]

Artificial Intelligence

"Introduction to Artificial Intelligence", 2022 Spring semester, Department of Computer and AI, Sejong Cyber University [syllabus]