Hello! I am a PhD candidate in the Computer Science & Engineering Department at the Korea University and a member of DMIS Lab, advised by Prof. Jaewoo Kang.
My research area covers the bioinformatics and chemoinformatics with machine learning, with a focus on representation learning for molecular data and protein data. I am also interested in applying machine learning techniques to diverse domains, including medical AI.
Publications
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[ISMB2020] [Bioinformatics] Improved survival analysis by learning shared genomic information from pan-cancer data
Sunkyu Kim*, Keonwoo Kim, Junseok Choe, Inggeol Lee, Jaewoo Kang** (*First author / **Correspodig author) [Github Code]
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[IEEE BigComp] Improved Binding Affinity Prediction Using Non-Covalent Interactions and Graph Integration
Junseok Choe*, Keonwoo Kim*, Minjae Ju, Sumin Lee, Jaewoo Kang** (*Co-first author / **Corresponding author)
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[ISMB2023] [Bioinformatics] ArkDTA: attention regularization guided by non-covalent interactions for explainable drug–target binding affinity prediction
Mogan Gim*, Junseok Choe, Seungheun Baek, Jueon Park, Chaeeun Lee, Minjae Ju, Sumin Lee, Jaewoo Kang** (*First author / **Correspodig author) [Github Code]
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Timothy Bergquist, Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao, Guanhua Chen, Łukasz Charzewski, Zofia Nawalany, Ivan Brugere, Renata Retkute, Alidivinas Prusokas, Augustinas Prusokas, Yonghwa Choi, Sanghoon Lee, Junseok Choe, Inggeol Lee, Sunkyu Kim, Jaewoo Kang, Sean D. Mooney*, Justin Guinney* and the Patient Mortality Prediction DREAM Challenge Consortium (*Corresponding author)
Education
Data Mining & Information Systems Lab (advisor: Prof. Jaewoo Kang)