Brian James Curry is a Kansas City–based AI, Machine Learning, and Data Science applied researcher and developer, operating at the intersection of data science, economic modeling, marketing science, and enterprise transformation.

I help organizations move beyond surface-level analytics toward causal understanding—connecting marketing investment to outcomes, operational decisions to economic value, and AI adoption to competitive advantage. My work bridges the gap between theoretical AI capabilities and practical business impact, with a focus on marketing economics, causal inference, and intelligent automation.

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

• Marketing economics and measurement science
• Causal inference and simulation-based modeling
• Cognitive AI architecture and agentic systems
• The economics of intelligent automation

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

• Koch Industries ($125B)
• Tractor Supply Company ($14B)
• Vail Resorts
• Hallmark
• Garmin
• AT&T
• And others

My approach emphasizes moving organizations 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 research contributions include:

Papilon — Open-source marketing analytics and simulation framework for understanding campaign dynamics and market response

PyCausalSim — Simulation-based Marketing Mix Modeling framework that uses causal inference to measure true marketing incrementality

Memory-Node Encapsulation — 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 transformation and the shift toward autonomous systems

In 2016, I founded KC AI Lab, LLC, where I led educational initiatives and community projects in machine learning and artificial intelligence, helping build the local AI/ML ecosystem in Kansas City.

I grew up in a small farming town and started working in the crop fields at age 12. I spent time at Kansas State as a collegiate athlete, have trained Brazilian Jiu Jitsu, and am the father of two wonderful humans.

As an active musician and composer, I'm deeply interested in creativity, human–AI collaboration, and generative systems. This artistic background informs my technical work—I see AI not just as an optimization problem, but as a creative tool that can augment human capabilities while respecting human agency.

I bring together technical expertise with artistic sensibilities to explore the intersection of intelligence, creativity, and automation, always asking: how do we build systems that enhance rather than replace human judgment?

I'm always interested in collaborating on challenging problems at the intersection of AI, economics, and marketing science. Whether you're looking to build causal measurement frameworks, implement agentic systems, or explore the economics of automation, let's connect.

Based in Kansas City, working globally.