Hyungyeong Hong

• Office: Room 302, Building 25
• E-mail: hyungyeong81 (at) (snu domain)

Research Interests

My research focuses on graphical models, particularly on developing graph neural network architectures for modeling sports data. My current work explores the use of graph neural networks and reinforcement learning to model and analyze strategic decision making in baseball. I am also interested in point processes and spatiotemporal data analysis. I am open to a wide range of machine learning and deep learning methodologies, and I enjoy brainstorming new ways to apply these methods to real-world data and problems.

Education

• Ph.D. in Statistics, Seoul National University, Sep 2026 - Present.
  Advisor: Professor Chae Young Lim
• M.S. in Statistics, Seoul National University, Sep 2024 - Aug 2026.
  Advisor: Professor Chae Young Lim
  Thesis: Smoothed Wasserstein Induced Graphs for Exploiting Pitch Patterns
• B.E. in Statistics and B.S. in Mathematics, Sungkyunkwan University, Mar 2019 - Aug 2024.

Teaching Assistant

• Mathematical Statistics 2, Fall 2026.
• Statistics, Fall 2024.