Seongsu Bae

Research Assistant at Korea Advanced Institute of Science and Technology

Seongnam-si, South Korea
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Summary

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Senior
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Top School
Seongsu 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.
code8 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at 한국과학기술원(KAIST)
bookBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at 한양대학교
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Github Skills (70)

python10
deep-learning10
audio10
transformer10
nlp10
tensorflow10
devcontainer10
natural-language-processing10
flux10
pytorch10
bootstrap10
machine-learning10
bert10
speech-recognition10
rubygems9

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

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baeseongsu/ehrxqa

Jun 2023 - Dec 2024

Contributions:1 release, 24 pushes, 5 branches in 1 year 6 months
baeseongsu/mimic-cxr-vqa

Jun 2023 - Apr 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 9 months
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Seongsu Bae - Research Assistant at Korea Advanced Institute of Science and Technology