With more than two decades working at the intersection of economics, data science, and applied technology, I bring a teacher’s clarity and an engineer’s precision to every problem I solve. I’m currently a Commodities Trader at Grace Smart Metals, LLC, where I use my Ph.D. in Mathematical Economics and Econometrics and my long background in AI systems, behavioral economics, and algorithm design to help clients understand markets, reduce risk, and price metals more intelligently.
My work spans private clients developing Momentum Trading Algorythms, B2B Nash-style nudging systems, and Dynamic Assignment Matching models. In every engagement, I focus not only on delivering the analytics, but also on making the math, logic, and code understandable so teams can learn the mechanics behind the model, not just the output.
Earlier in my career, I founded and led multiple quantitative ventures—including MarketShare and Adobe’s Worldwide Demand Generation group where I built and taught teams how to use advanced marketing science, customer analytics, and algorithmic attribution to produce measurable value. I also hold several patents in marketing and analytics.
As a Visiting Scholar at Stanford’s Media X, I continue to teach and explore emerging topics in AI governance, readiness, and education. Across industries, my mission is the same: to translate complex systems into practical tools, empower people with the skills behind the technology, and create outcomes that are both data-driven and deeply human.
All IP belongs to the polya studio and parent Cvndr Trust 2025 - ALL RIGHTS RESERVED. / SMS 949-500-3465 / dcavander@gmail.com / 94612 Sf-OAK-Bkly
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