SEOYEON CHOI

Professional Experience

• (10/2022 - 5/2025) Nanum Space Corp.
  • Data Analystic Team / Statistician
• (10/2020 - 9/2022) Jeonbuk National University Hospital Center for Clinical Pharmacology
  • Clinical Statistics Team / Statistician

Education

• (9/2021 - 8/2023) Jeonbuk National University, South Korea
  • Department of Statistics / Master’s degree
  • Supervisor: Guebin Choi
  • Thesis Title: Spectral Analysis of non-Euclidean Data: A New Statistical Methodology for Graph Signal Processing and Graph Neural Network
• (3/2014 - 2/2018) Jeonbuk National University, South Korea
  • Department of Statistics / Bachelor’s degree

Publications

• Choi, S. & Choi, G.(2025). Gode: graph Fourier transform based outlier detection using empirical Bayesian thresholding;
  • Journal of the Korean Statistical Society, 1-21
  • keywords: Outlier Detection, Non-Euclidean Data, Graph Fourier Transform, Bayesian Modelings
  • https://link.springer.com/article/10.1007/s42952-024-00303-1
• Choi, S., Sim, J. & Choi, G.(2025) Synthetic Text as Data: On Usefulness and Limitations.
  • Applied Sciences, 15(10), 5460.
  • keywords: GPT-generated text, synthetic data, data augmentation, MBTI classification, class imbalance, few-shot learning, fine-grained classification, data granularity, large language models
  • https://www.mdpi.com/2076-3417/15/10/5460
• Choi, S., Kim, H. & Choi, G.(2026) Cascading Class Activation Mapping: A Counterfactual Reasoning-Based Explainable Method for Comprehensive Feature Discovery
  • CMES-Computer Modeling in Engineering & Sciences, 146(2), 37. (SCIE; 22.4%; Q1)
  • keywords: Explainable AI; Class Activation Mapping; Counterfactual Reasoning; Shortcut Learning; Feature Discovery
  • https://www.techscience.com/CMES/v146n2/66329