CV

Education

• Ph.D. in Industrial Engineering, Seoul National University, Feb 2026
  • Advisor: Prof. Jaewook Lee
  • Dissertation: Trustworthy Generative Model: from privacy to fairness
• B.S. in Industrial Engineering and Mathematics, Yonsei University, Feb 2021

Work Experience

• Postdoctoral Researcher (March 2026 – Present)
  • Ulsan National Institute of Science & Technology (UNIST), Korea
  • Mentor: Prof. Saerom Park
• Postdoctoral Researcher (April 2026 – Present)
  • Nanyang Technological University (NTU), Singapore
  • Host: Prof. Jaehong Yoon

Research Interests

• Trustworthy AI: Privacy, Fairness, Robustness
• Generative Models: Diffusion Model, Flow Matching, Large Language Model

Publications

Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis

Exploring the effect of multi-step ascent in sharpness-aware minimization

Stability analysis of sharpness-aware minimization

Differentially Private Upsampling for Enhanced Anomaly Detection in Imbalanced Data

TimeBridge: Better Diffusion Prior Design with Bridge Models for Time Series Generation

Multi-Class Support Vector Machine with Differential Privacy

Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?

Temporal consistency ensemble empirical mode decomposition for forecasting practical metal price

Improving the utility of differentially private clustering through dynamical processing

Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training

BayesNAM: Leveraging inconsistency for reliable explanations

In-distribution public data synthesis with diffusion models for differentially private image classification

Fair Sampling in Diffusion Models through Switching Mechanism

Privacy-preserving inference resistant to model extraction attacks

Fantastic robustness measures: The secrets of robust generalization

Fast sharpness-aware training for periodic time series classification and forecasting

Differentially private sharpness-aware training

Efficient homomorphic encryption framework for privacy-preserving regression

Exploring diverse feature extractions for adversarial audio detection

Efficient differentially private kernel support vector classifier for multi-class classification

Teaching

Financial Machine Learning

Financial Programming 2

Scholarship and Fellowships

Scholarship

• Youlchon AI Scholarship, Youlchon AI Star, 2025
• National Science and Technology Scholarship (full tuition), Ministry of Science, Korea, 2019-2020

Fellowship

• Doctoral Student Research Grant, Ministry of Science and ICT, Korea (Graduate Research Fellowship in Science and Engineering), 2023-2025