TEACHING STUDIO

RIGOR, MADE PRACTICAL.

Courses and appointments are drawn from the Academic CV. This site publishes no student names, work, grades, or institutional-system data.

2024–present

University of Arizona Global Campus

Project procurement, project management, integrated cost and schedule control, risk, and graduate project planning.

2024–present

Grand Canyon University

AI, machine learning, programming for AI, computer vision, advanced statistics, capstone, subject-matter expertise, and peer review.

2020–present

Capitol Technology University

Doctoral chair and committee service; product management, analytics, expert systems, big data, and AI-enabled decision support.

2022–present

Southern New Hampshire University

Undergraduate and graduate project management and operations; teaching awards in 2024 and 2025.

60-SECOND LESSON · AI EVALUATION

Evidence before enthusiasm.

OBJECTIVE
Turn “the model seems good” into a reviewable release decision.
EXAMPLE
Define representative tasks, expected boundaries, failure severity, scoring rules, and the person authorized to accept residual risk.
TAKEAWAY
An evaluation is useful only when its evidence changes a decision.
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