주요 연구

• Machine Learning for Financial Applications
• AI Fairness and Group-Robust Learning in Finance
• Financial Graph Analysis and AML Detection
• Investment Behavior Analysis

주요 논문 및 저서

• “Machine learning for disease-specific prediction of high-cost patients,” with Tae, I., Lee, J., & Lee, Y., Engineering Applications of Artificial Intelligence, 2025.
• “Tracking customer risk aversion,” with Kim, W. C., & Yun, W., Finance Research Letters, 54, 103698, 2023.
• “Constructing a personalized recommender system for life insurance products with machine-learning techniques,” with Kim, W. C., Yun, W., Joo, W., Kim, J., Kim, K., & Moon, I.-C., Intelligent Systems in Accounting, Finance and Management, 29(4), 242–253, 2022.
• “Stochastic volatility and early warning indicator,” with Ji, G., Ahn, K., & Kim, W. C., International Conference on Computational Science, 413–421, 2020.

경력 사항

• Assistant Professor, Division of Finance & AI, Hankuk University of Foreign Studies, 2025–Present
• Sejong Science Fellowship, 2024–2029
  ○ 5-year research grant for financial AI and machine learning research.
• Postdoctoral Research Fellow, Department of Statistics and Data Science, 2025

산학 프로젝트

• Large-Scale Financial Graph Analysis for AML Detection, Korea Financial Telecommunications and Clearings Institute, 2026
  ○ Developing graph-based methods for suspicious fund-flow and AML pattern detection.
• Synthetic Financial Data Generation under Large-Scale Financial Data Settings, Korea Credit Information Services, 2026
  ○ Analyzing synthetic data generation challenges in large-scale financial datasets.
• Customer Analysis and Stock Recommendation Model, KB Securities, 2024
  ○ Developing data-driven models for diagnosing investor tendencies and supporting stock recommendation.
• Synthetic Financial Data Generation and Analysis, Korea Credit Information Services, 2024
  ○ Developing synthetic financial data generation models for default prediction and credit card usage forecasting.
• Disease-Specific Prediction and Explanatory Analysis, National Health Insurance Service, 2023–2024
  ○ Developing disease-specific prediction models for high-cost patient identification.
• Early Repayment Prediction for MBS, Korea Housing Finance Corporation, 2023–2024
  ○ Applying machine learning models to mortgage early repayment prediction and real-estate customer analysis.
• Design of Personal Risk Aversion, Shinhan Securities, 2021
  ○ Developing a data-driven approach to assess customer risk preferences from investment behavior.
• Customized Insurance Product Recommendations, Orange Life, 2020
  ○ Designing a personalized life insurance product recommendation system using customer data.