MiniFed : LLM-based Agentic Workflow for Simulating FOMC Meeting
DFCH: Diffusion Based Conditional Heteroskedasticity for Generating Long-Term and High-Frequency Financial Time-Series Data
Still Publishing

I'm Sungil Seok, a Ph.D. student in Information Systems at HKUST Business School. My research sits at the intersection of AI and business & AI and health, with a focus on causal inference and human-computer interaction. I hold an M.Eng. in Big Data Technology from Tsinghua University and a B.A. in Economics from Yonsei University. I'm passionate about bridging cutting-edge AI research with real-world business and health problems.