Seongsu Bae
Research Assistant at Korea Advanced Institute of Science and Technology
Seongnam-si, South Korea
Summary
👤
Senior🎓
Top SchoolSeongsu Bae is a research-focused AI engineer and PhD student at KAIST with eight years of experience building semantic systems for clinical electronic health records, including Text-to-SQL, visual question answering, voice EMR, and multi-turn agent work. He has research internship experience at Microsoft Research Asia on multimodal QA and text-to-image generation, bringing industry rigor to academic innovation. Comfortable moving between data engineering and cutting-edge NLP, he previously consulted on digital transformation at SK C&C and delivers production-minded research that targets real hospital workflows. Known for a pragmatic, rigorous approach—“getting things done but never losing the infimum in research”—he blends strong mathematical foundations (BS in Mathematics) with hands-on system building.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at 한국과학기술원(KAIST)Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at 한양대학교
Github Skills (74)
function-call10
python10
deep-learning10
audio10
nlp10
devcontainer10
natural-language-processing10
flux10
pytorch10
bootstrap10
machine-learning10
llm10
api-documentation10
rubygems9
chatgpt9
Programming languages (3)
Github contributions (5)
baeseongsu/ehrxqa
Jun 2023 - May 2025
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images (NeurIPS 2023 D&B)
Contributions:1 release, 24 pushes, 5 branches in 1 year 11 months
multimodalquestion-answering
baeseongsu/mimic-cxr-vqa
Jun 2023 - May 2025
A new collection of medical VQA dataset based on MIMIC-CXR. Part of the work 'EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images'. (NeurIPS 2023 D&B)
Contributions:2 releases, 2 PRs, 30 pushes in 1 year 11 months
multimodalquestion-answering
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