About
I build, test, and explain models in financial applications.
I work across machine learning, artificial intelligence, accounting, finance, and cloud systems. My focus is on how models are built, tested, governed, and explained — especially when they affect financial decisions.
Credentials
Associate Professor in ML/AI
Academic work in machine learning, artificial intelligence, and model-based decision systems.
Fellow CPA
Professional accounting and finance background for understanding how models affect reporting, risk, and business decisions.
Google-certified Cloud Architect
Cloud architecture knowledge for understanding how data and model systems are implemented in practice.
How I teach
I do not teach models as magic or certainty. I teach them as structured arguments: inputs, assumptions, calculations, tests, outputs, and limits.
Areas of focus
- Models in financial applications
- AI and ML in accounting and finance
- Model testing and validation
- Model risk and assumptions
- Cloud architecture for model systems
- Plain-language education