About Brian James Curry

 About Brian James Curry

Brian James Curry is a Kansas City–based applied AI researcher and causal economist working at the intersection of causal inference, cognitive AI architecture, and the economics of intelligent automation.

What I Do

I help organizations move from descriptive analytics to causal reasoning — building systems that don't just report what happened, but understand why it happened and how to influence future outcomes. My work connects marketing investment to incremental outcomes, operational decisions to economic value, and AI strategy to durable enterprise advantage.

I'm the founder of Vector1 Research, an independent lab focused on:

— Causal inference and simulation-based modeling

— Marketing economics and measurement science

— Cognitive AI architecture and agentic systems

— AI safety, governance, and evaluation

— The macroeconomics of intelligent automation

I also write critically on AI's effects on work, the economy, and the white-collar labor market.

Experience

I've led data science, applied AI, and analytics initiatives across major enterprises including:

— Koch Industries ($125B) — Lead Data/Applied Scientist, energy and industrial operations division

— Tractor Supply Company ($15B, Fortune 300) — Marketing Data Scientist & AI Developer

— Vail Resorts — Advanced Analyst, AI & Data Science

— Hallmark Cards ($4B) — Senior Data Analyst & Product Owner

— Garmin Ltd. ($5B) — Data Analyst, Paid Media & SEO

— AT&T and McClatchy Media — Senior management roles in digital strategy, search, and advertising operations

Research & Contributions

— Papilon — Open-source Python library for causal inference, marketing economics, and counterfactual simulation

— PyCausalSim — Simulation-based framework for causal discovery and marketing mix modeling, measuring true incrementality through agent-based methods

— MeaningFlow — Semantic content modeling and ontology framework for attribution and audience analytics

— Memory-Node Encapsulation (MNE) — Cognitive AI architecture for episodic memory in agentic systems, enabling AI agents to learn from experience

— The Autonomy Economy — Macroeconomic framework for understanding AI-driven economic transformation

— 200+ published articles on AI evaluation, causal inference, agent systems, and applied AI strategy at medium.com/@brian-curry-research

KC AI Lab

In 2016, I founded KC AI Lab, building it into a 1,500-member AI/ML community and education organization. I led organizational strategy, programming, partnerships, and AI literacy curriculum from inception through 2018, helping shape Kansas City's AI ecosystem.

Personal

I grew up poor in a small farming town in Kansas and started working the crop fields at twelve. I attended Kansas State University as a collegiate athlete, later trained Brazilian Jiu Jitsu, and am a working musician, composer, and painter. I'm the father of two wonderful humans.

My creative work — improvisation, composition, generative systems — informs how I think about AI. I see intelligent systems not as optimization problems alone, but as creative tools that can augment human capabilities while respecting human agency. The question that drives much of my work: how do we build systems that enhance rather than replace human judgment?

Get in Touch

I'm always interested in collaborating on hard problems at the intersection of AI, economics, and applied research. Whether you're building causal measurement frameworks, deploying agentic systems, or thinking through enterprise AI strategy, let's connect.

Based in Kansas City, working globally.

Contact: brian at vector1.ai

LinkedIn: https://www.linkedin.com/in/research-economic-systems-ai-algorithmic-optimization-seo/

Medium: medium.com/@brian-curry-research

GitHub: github.com/Bodhi8