My academic work reflects a long-standing interest in how organizations make decisions, how systems shape behavior, and how leadership adapts when technology changes the environment in which those decisions are made.

​My education spans business leadership, marketing, supply chain and logistics, government and policy, and technology. Together, these disciplines provide the foundation for my work in artificial intelligence, organizational governance, workflow transformation, and decision-making.

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Doctor of Philosophy

Ph.D. in Business Administration, Leadership Cognate​
​Liberty University

My doctoral research focused on the organizational integration and governance of generative artificial intelligence. Specifically, I examined how the absence of standardized AI integration frameworks affects organizational alignment, decision-making, employee adoption, accountability, and ethical governance.

The research used a convergent parallel mixed-methods design and explored AI adoption from multiple organizational perspectives, including executive leadership, technology, employees, and regulatory or compliance functions.

​Key areas of research included:

• AI governance and organizational alignment
• Leadership and technology adoption
• Decision-making accountability
• Standardized versus organization-specific AI frameworks
• Employee readiness and perceived technology risk
• Shadow AI and informal workarounds
• Responsible and ethical AI governance
• Human oversight in AI-supported decisions

This work continues to inform my research, writing, consulting, and professional work involving enterprise AI strategy and governance.

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Master of Business Administration:
Marketing

Graduated with Highest Distinction

Liberty University

My graduate studies in marketing strengthened my understanding of customer behavior, market positioning, organizational communication, strategic planning, and the relationship between business decisions and stakeholder expectations.

​These concepts remain particularly relevant to AI adoption because technological transformation is ultimately also a change-management challenge. Successful implementation depends not only on what a technology can do, but on whether people understand it, trust it, and see its value.

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Master of Business Administration:
Supply Chain Management and Logistics

Graduated with Highest Distinction

Liberty University

​My graduate work in supply chain management and logistics focused on operational systems, process integration, resource allocation, risk, efficiency, and coordinating complex organizational networks.

​That systems-oriented perspective has become increasingly important in my work with artificial intelligence. AI rarely operates as an isolated application. It interacts with workflows, people, data, policies, technologies, and decision processes across the enterprise.

Understanding those dependencies is essential when designing AI initiatives that are scalable, governable, and operationally sustainable.

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Bachelor of Science:
Government and Policy: Pre-Law

Graduated Magna Cum Laude

Liberty University

​My undergraduate education in government and policy provided a foundation in law, public policy, institutional structures, governance, and regulatory analysis.

That background has become especially relevant as organizations navigate an increasingly complex AI regulatory environment. Questions involving authority, accountability, documentation, governance, compliance, and institutional responsibility are central not only to public policy but also to responsible enterprise AI adoption.

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An Interdisciplinary Foundation

My academic background is unusual because it does not follow a single disciplinary path. It brings together government and policy, law, marketing, supply chain and logistics, business leadership, organizational systems, and artificial intelligence. That combination gives me a perspective that is difficult to replicate through any one degree or professional specialization.

In many ways, that makes me unique in the world of AI Governance. I can examine an AI initiative from the perspective of governance and regulation, understand how it affects organizational processes and supply chains, consider how employees and customers will perceive and adopt it, and evaluate the leadership and decision-making structures needed to support it. Those perspectives are typically divided across different functions, disciplines, or advisors. My education allows me to connect them.

That interdisciplinary foundation is particularly important in artificial intelligence because AI does not remain confined to technology. It changes workflows, influences decisions, creates governance questions, affects stakeholder trust, introduces regulatory considerations, and reshapes how organizations operate.

Understanding those interactions requires more than technical fluency. It requires seeing the organization as an interconnected system.

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This same perspective shapes Nexus Notes, my weekly publication, where I bring these disciplines together to examine artificial intelligence through the lenses of leadership, governance, business strategy, operations, policy, organizational behavior, and decision-making. Each issue connects emerging AI developments with the broader questions leaders face as technology becomes more deeply embedded in organizational life.

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Subscribe to Nexus Notes

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For weekly perspectives on AI, governance, leadership, and organizational decision-making, subscribe to Nexus Notes and receive each new issue directly by email.