AI Application in FinTech
Guest lecture at HKUST covering machine learning foundations, large language models, AI agents, and their applications in wealth management and investment technology.
Guest lecture at HKUST covering machine learning foundations, large language models, AI agents, and their applications in wealth management and investment technology.
A production-grade digital wealth architecture integrating client profiling, goal-based portfolio construction, monitoring, rebalancing, and execution infrastructure.
A four-layer ESG research system combining structured data, disclosures, and financial news to produce frequently updated, explainable company-level signals.
A sequential portfolio-rebalancing framework that learns policies under changing market states, tracking objectives, and realistic transaction costs.