Graduate Researcher · KAIST Mathematical Sciences

Seongchan
Lee

I study the mathematical foundations of statistical inference and machine learning, with particular interests in hypothesis testing, kernel methods, and conformal inference. My work aims to connect rigorous theory with practical applications.

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Seongchan Lee
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About Me

I am a graduate student in the Department of Mathematical Sciences at KAIST, working with my advisor, Ilmun Kim. I transferred to KAIST from the Department of Statistics and Data Science at Yonsei University.

My research interests include hypothesis testing, kernel methods, conformal inference, and distribution-free statistical inference.

Research Interests

  • Hypothesis Testing
  • Kernel Methods
  • Conformal Inference
  • Causal Inference
  • Statistical Learning Theory

Skills

  • R / Python
  • LaTeX / Academic Writing
  • Lean / Formal Verification

Contact

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Publications

2026
FUSE: Feature-Wise Unified Specialization with Cross-Column Exchange for Mixed-Type Tabular Flow Matching
Suman Cha, Seongchan Lee, Dohyun Ko, Hyunjoong Kim
Paper Code
Under Review
2026
A Sharper Hoeffding Bound for Weighted Sums of Exchangeable Random Variables
Seongchan Lee, Ilmun Kim
Paper Lean Project
Under Review
2026
More Permutations Do Not Always Increase Power: Non-monotonicity in Monte Carlo Permutation Tests
Suman Cha†, Seongchan Lee†, Antonin Schrab, Ilmun Kim
Paper Code
Under Review
2026
Multi-LLM Adaptive Conformal Inference for Reliable LLM Responses
Kangjun Noh, Seongchan Lee, Ilmun Kim, Kyungwoo Song
ICLR 2026
Paper Code
Conference
2024
General Frameworks for Conditional Two-Sample Testing
Seongchan Lee†, Suman Cha†, Ilmun Kim
Paper Code
Under Review

† Equal contribution

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Academic Activities

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Awards

  • 2026 Outstanding Teaching Assistant Award Spring 2026 — Department of Mathematical Sciences, KAIST
  • 2024 BK Winter Conference — 3rd Prize Yonsei Statistics and Data Science
  • 2024 Korean Statistical Society Winter Conference — 3rd Prize
  • 2022 Yonsei Big Data Analysis Competition — Grand Prize Credit evaluation model — data analysis, modeling & presentation
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Teaching Assistant @ Yonsei University

  • Introduction to Statistics 22Su · 22Wi
  • Time Series Analysis 22S
  • Mathematical Statistics I 25F
  • Mathematical Statistics II 22F · 23F · 24F
  • Graduate Mathematical Statistics I 23S · 24S · 25S
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Teaching Assistant @ KAIST