Hyunseok Seo
Assistant Professor at Korea University / 고려대학교
Seoul, South Korea
Summary
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Rockstar🎓
Top SchoolHyunseok Seo is an Assistant Professor and former senior research scientist with a decade of experience building deep learning and signal-processing solutions for medical imaging and MRI systems. He combines academic rigor (PhD from KAIST) with industry impact at Samsung and Stanford, where his work improved tumor detection, image reconstruction, and MRI acquisition efficiency—solving a long-standing MRI noise challenge and cutting scan times dramatically. Equally comfortable in research and production, he has translated Python models into clinical systems and contributed backend fixes and tests to high-profile open-source projects like Apache Arrow. Based in Seoul, he now leads AI research in Korea University’s Department of Artificial Intelligence, focusing on practical methods that boost accuracy and reduce data needs. Colleagues note his knack for engineering around real-world constraints—e.g., designing adaptive loss functions and sensor-domain feature modules that yield measurable gains in accuracy and SNR.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Korea Advanced Institute of Science and Technology
English, Korean
Github Skills (6)
unit-testing10
c-language10
cprogramming-language10
hash9
documentation8
parquet7
Programming languages (11)
Github contributions (5)
apache/arrow
Jul 2023 - Jul 2024
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Role in this project:
Backend & Test Automation Engineer
Backend & Test Automation EngineerContributions:125 reviews, 59 PRs, 348 comments in 1 year
Contributions summary:Hyunseok primarily contributed to the codebase by fixing issues related to the Arrow Flight RPC and Hash Join functionalities within the C++ code. These fixes addressed missing arguments on Mac with ARM architecture and incorrect offset size calculations for large string and binary types. Additionally, the user added unit tests to validate these changes, ensuring the functionality and stability of the codebase. The user also focused on documentation by fixing typo, update headers.
memorymulti-languagetoolboxacceleratedarrow
lucaseo90/backend-snippet
Sep 2020 - Jan 2022
Contributions:2 reviews, 14 PRs, 102 pushes in 1 year 4 months
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