Professor of AI Finance, Purdue University · Mitch Daniels School of Business Building AI-native tools and curricula for the next generation of finance professionals.
Define · Represent · Implement · Validate · Evolve · Reflect
DRIVER is my methodology for AI-augmented finance education — teaching students to work with AI as a cognitive partner, not a shortcut. AI is the spotter, not the weight machine.
DRIVER powers three textbooks under contract with World Scientific Publishing (2026):
| Textbook | Focus | Repo |
|---|---|---|
| DRIVER: Financial Modeling | Professional analytics mastery | 🔒 private |
| DRIVER: Financial Management | AI-augmented foundations | 🔒 private |
| DRIVER: Essentials of Investment | The cognitive gymnasium | 🔒 private |
All textbooks freely available at cinderzhang.github.io
| Repo | What it is |
|---|---|
driver-plugin |
DRIVER methodology as a Claude Code plugin — the core engine for AI-augmented finance workflows |
DRIVER-PhilosophyBigPicture |
The intellectual foundations: philosophy, mindset, and comprehensive guides behind DRIVER 🔒 |
FAskills |
Financial Analysis skills — Claude Code plugin built on DRIVER principles |
AI-Analyst |
Research codebase: Can AI match professional equity analysts? 🔒 |
FinDataMCP |
MCP server for financial data pipelines |
DataAnalytics |
Full course: Financial Data Analytics with Python |
OpenMAIC |
Open Multi-Agent Interactive Classroom (forked, extended for DRIVER) |
I sit at the intersection of finance research, AI engineering, and education.
- Research — Published in JFQA, JBF, JCF. Current working paper: "Can AI Match Professional Analysts?" (R&R at Finance Research Letters)
- Build — 100+ repos spanning LLM agents, MCP servers, Claude Code plugins, and financial analysis tools
- Teach — Students applying DRIVER go on to Goldman Sachs, JPMorgan, State Street, Walmart, Mastercard, Stephens Inc. They don't just learn to prompt — they learn to think with AI.
- Read my writing on Substack
- Explore the DRIVER framework
- Browse the textbooks