Sunkyu Kim, Ph.D.

Research area

• Artificial Intelligence-based Drug discovery

  • Bioinformatics, Pharmacogenomics, Cheminformatics.

• Computational Biology and Medicine

  • Multi-omics analysis, Survival prediction, Natural Language Processing

News

• [01/2024] Large Language Models: A Guide for Radiologists was published in Korean Journal of Radiology. (First autor) [Link]

• [12/2023] Enhancing Clinical Outcome Predictions through Auxiliary Loss and Sentence-Level Self-Attention was presented at BIBM 2023. (Corresponding author) [Link]

• [08/2023] Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine was published in JAMIA. [Link]

• [07/2023] Biomedical relation extraction with knowledge base–refined weak supervision was published in Database. [Link]

Awards

• Third place in CTD² Pancancer Drug Activity DREAM Challenge, 2020

• Co-first place in IDG-DREAM Drug-Kinase Binding Prediction Challenge, 2019

• First Place in NCI-CPTAC DREAM Proteogenomics Challenge, 2018

• Second place in AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge, 2016

Education

• (Aug. 2020) Ph.D., Computer Science and Engineering in Korea University, Seoul, Republic of Korea. Advisor: Prof. Jaewoo Kang

• (Feb. 2017) M.S., Interdisciplinary Graduate Program in Bioinformatics in Korea University, Seoul, Republic of Korea  Advisor: Prof. Jaewoo Kang

• (Feb. 2015) B.S., Computer Science and Engineering in Korea University, Seoul, Republic of Korea 

Selected Publications