Kyubyung Chae
Ph.D. Student Researcher at Seoul National University
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolKyubyung Chae is a Ph.D. student researcher in Data Science at Seoul National University with eight years of industry and academic experience spanning data engineering, data science, and representation learning. He transitioned from production-focused roles at LG CNS—where he implemented and deployed model optimization and data pipelines—to research exploring uncertainty-aware representation and transfer learning under Taesup Kim. Kyubyung blends practical systems experience (SQL/Hive/Oracle, ETL, model deployment) with rigorous statistical training from Yonsei, enabling research that considers both probabilistic foundations and real-world constraints. He values steady, incremental improvement—reflected in his Github motto “1% a day”—and has interned on applied research projects at NAVER Cloud, signaling a bridge between lab ideas and cloud-scale applications.
8 years of coding experience
5 years of employment as a software developer
PhD candidate, Data Science, PhD candidate, Data Science at Seoul National UniversityBachelor's degree, Applied Statistics, Bachelor's degree, Applied Statistics at Yonsei University
English, Korean
Github Skills (1)
java7
Programming languages (5)
Github contributions (5)
qqplot/qqplot.github.io
Feb 2021 - Jan 2025
Contributions:113 pushes, 1 branch in 3 years 11 months
qqplot/arm
Aug 2022 - Jul 2023
I'm now interested in Learning to Adapt to Domain Shift
Contributions:4 PRs, 30 pushes, 5 branches in 11 months
adaptiondomain-shiftmetalearningout-of-distribution
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