Dr. Sang Van Ha is a lecturer at the Academy of Finance in Hanoi, Vietnam, in the department of economic systems. His research applies machine learning and statistical methods to finance, with a focus on credit risk modeling, explainable anomaly detection in financial data, and forecasting of public revenue. He also studies corporate financial policy in Vietnamese listed firms, including cash holdings and the green transition of textile companies. Alongside academic work, he develops and tests algorithmic trading strategies for cryptocurrency derivatives markets. He is open to collaboration on quantitative finance and data-driven research in emerging markets.