My focus is on applying AI and machine learning techniques in finance and insurance, covering areas such as risk assessment, algorithmic trading, and predictive modeling. Additionally, I conduct deep mathematical analysis to enhance model robustness and interpretability in these domains.
My focus is on portfolio optimization and management across various asset classes such as equity, commodities, and ETFs, as well as different investment styles. Additionally, I conduct deep mathematical analysis on these areas.
My research on Derivative Markets and Pricing encompasses a blend of stochastic modeling, numerical methods, risk management, and advanced pricing techniques for financial derivatives.
My research on Actuarial Pricing and Management encompasses a range of quantitative techniques and models to assess risk, price insurance products, and optimize financial strategies in the insurance industry.
Algorithmic trading involves designing, implementing, and optimizing computerized trading strategies that execute trades at high speed based on mathematical models and statistical analysis.
My focus is on applying the Monte Carlo method in various fields, with an emphasis on improving and developing novel approaches.
My other areas of interest, though not my primary focus.