Where the pulpit meets the algorithm.

Twenty-five years of strategic planning, research administration, and program development sit behind this practice — including a five-year interdisciplinary research strategy and a $1.1M telemedicine and mobile-health grant.

The work spans AI/ML capacity building, community engagement, cultural context, quantitative causal mapping, and the ethical consequences of AI and multi-omics. What ties it together is a refusal to separate technical rigor from moral obligation: a model that improves an average while widening a disparity has not succeeded.

The five-book AI for Human Enrichment series makes the argument at length. The advisory practice makes it operational — governance frameworks, equity assessments, and implementation roadmaps that institutions can actually run.