Teaching
Committed to experiential, evidence-based pedagogy that bridges theory and practice, develops critical thinking, and prepares students for leadership in complex global environments.
Teaching Philosophy
My teaching integrates rigorous theoretical frameworks with deep practitioner insights drawn from 20+ years of corporate strategy experience. I believe the most powerful learning happens when students grapple with real complexity — not sanitized textbook problems, but the messy, contradictory, high-stakes decisions that define actual business leadership.
Every course I teach incorporates original case studies drawn from real companies and real strategic dilemmas. Students don't just analyze — they defend their reasoning, challenge each other's assumptions, and develop the analytical resilience that AI tools cannot replicate.
The AI-Resilient Case Method
A pedagogical framework I developed for the generative AI era. Traditional case analysis can now be surface-replicated by AI tools, which creates a crisis of assessment authenticity in business education.
The AI-Resilient Case Method addresses this through three integrated mechanisms:
- 1.Synchronous In-Class Analysis — Cases are introduced and analyzed in real-time, eliminating the possibility of AI-generated preparation substituting for genuine understanding.
- 2.Oral Defense Assessments — Students must verbally defend their strategic recommendations under questioning, demonstrating depth of understanding that written submissions cannot verify.
- 3.Adversarial Case Design — Cases are specifically designed with contradictory data, ambiguous stakeholder motivations, and incomplete information that resist formulaic AI analysis.
Presenting this framework at the AI in Higher Education Summit (AIHES), ESCP Business School, Paris — March 2026. Read the paper (PDF) →
Join the Effort
AI resilience in education is too big a problem for any one researcher, institution, or discipline. I'm actively looking for collaborators — faculty who are experimenting with their own approaches, researchers studying AI's effects on student learning, and institutions interested in piloting structured interventions.
If you're working on this problem, or want to, I'd like to hear from you.
Current Courses
St. Edward's University, Austin, TX
International Management
MGMT 3338 / IBUS 3338 · Undergraduate, In-Person · Since August 2025
Examining global business strategy, cross-cultural management, and international market entry. Features 20+ original case studies integrating real-world strategic challenges. Designed with the AI-Resilient Case Method framework.
St. Edward's University, Austin, TX
Strategic Management
BUSI 4349 · Undergraduate Capstone, In-Person · Since Spring 2026
Capstone strategy course incorporating CAPSIM business simulation, original case studies, and complex data analysis using AI tools (Claude in Excel). Emphasizes financial analytical literacy — ratios, balance sheets, cash flow, income statement analysis — and effective presentation of strategic recommendations.
Guest Lectures
University of Denver (Remote) — Spring 2026
Donald D. Bergh, Strategy Undergraduate Course
Topic: Organic growth strategies and growth challenges
California State University, San Bernardino (Remote) — Fall 2024
Frank Almeida, Entrepreneurship Course
Topic: Identifying market opportunities, strategic execution, and growth strategies
The University of Texas at Austin, Osher Lifelong Learning Institute — Fall 2024
Global Strategy in Semiconductors — Multi-session course on global supply chains, competitive landscapes, and strategic frameworks in the semiconductor industry
The University of Texas at Austin — Fall 2018
Strategy in High-Tech — Strategy frameworks, case studies, and analytical tools for high-tech ventures