As a Ph.D. in Economics, my research lies at the intersection of statistics, finance, and artificial intelligence. I focus on building and applying advanced statistical models to uncover hidden patterns and enhance decision-making in financial markets. My work spans three core areas: 1. Jump Detection and Volatility Modeling 2. Deep Learning for Financial Forecasting 3. Empirical Validation of Financial Theories