I work at the junction of technology, business, and scientific and medical research.
I have studied these domains through the complementary lenses of data, product development, and strategic governance — examining how complex knowledge becomes usable information, how information becomes a product, and how products become durable organizational capabilities.
My experience spans scientific and clinical informatics, enterprise software, data products, product leadership, business analysis, regulated environments, commercial operations, implementation, and organizational change.
That range has required me to move between researchers, clinicians, business leaders, technologists, product teams, and operational stakeholders — translating specialized needs into practical systems, clearer decisions, and coordinated action.
Over the past two years, I have been intensely focused on the adoption of generative and agentic AI inside the enterprise.
I have studied the technology, the organizational barriers, the changing economics of delivery, the governance questions, and the practical realities of introducing AI into complex and regulated teams.
More importantly, I have applied these ideas directly to product delivery work.
I have used AI to improve analysis, requirements, testing, documentation, communication, and the coordination of product-development activities.
I was also selected to help my organization examine how AI may reshape the future of product delivery.
This site documents what I have learned — and what I believe professionals and organizations need to understand next.