ML/AI · Finance · Model education
Models in finance, made understandable.
I build and test models in financial applications — and educate people on how those models shape decisions, risk, money, and everyday life.
Associate Professor in ML/AI · Fellow CPA · Google-certified Cloud Architect
Practical explanations of models, assumptions, validation, and financial decisions.
Credibility
Associate Professor in ML/AI
Academic expertise in machine learning, artificial intelligence, and model-based decision systems.
Fellow CPA
Professional accounting and finance perspective on how models affect reporting, risk, and business decisions.
Google-certified Cloud Architect
Cloud architecture background for understanding how modern data and model systems are built and deployed.
What I focus on
My work sits at the intersection of models, financial applications, and public understanding — building the models, testing them, and explaining what they mean.
- Financial models — credit, pricing, forecasting, valuation, risk, and accounting.
- Model testing — assumptions, validation, sensitivity, failure modes, and limits.
- AI and ML in finance — how these systems are built, evaluated, and governed.
- Public education — plain-language explanations of how models affect real decisions.
Watch the explanations
YouTube is my primary channel for teaching. I explain each idea by drawing it out as I go, with the underlying facts and evidence on screen — the goal is understanding, not hype.