Teaching

CYB-4203/6203 — Secure & Trustworthy AI

A graduate / undergraduate course at the University of Tulsa, delivered Spring 2026. Built from scratch.

Topics span ethics, harms & misuse, AI regulation & legal context, biology / neuroscience / psychology connections, privacy, bias, transparency, explainability, AI/ML attack vectors, testing, evaluation, red-teaming, and industry applications.

The course uses LLM-assisted instructional methods and a self-hosted course site. Assignments require students to use Claude Code, Codex, or Gemini CLI. The final project is a six-team red-team engagement against a multi-agent OpenClaw harness running on RunPod — students attack, document, and report.

Red Teaming AI Systems — Fall 2026

Over Summer 2026 I’m developing a new Red Teaming AI Systems course at TU for the Fall 2026 semester, built from scratch.

AIML@TU

I co-founded the AI/ML Club at the University of Tulsa and now serve as its Outreach Director, after two years as Graduate President. We run workshops, talks, a vibe-coding series, three Multi-Club Mashups, and the inaugural Hurricane Hackathon.