A practice.
Many forms.

Understanding is a form of power.

I build ways for people to understand, act and keep authority over their lives. Sometimes that takes the form of a learning experience. Sometimes it is an AI governance system, a research tool, a transforming garment or a performance moving through a city.

I’m an AI Engineer, Instructional Systems Designer, Researcher and Maker. My practice connects AI safety and runtime governance with dramaturgy and adaptive fashion. My work spans learning experiences, governed AI workflows, research tools, adaptive fashion and public performance.

Who gets to define the problem? Whose knowledge counts? What does a person need to understand and act? Who keeps the authority?

My instructional work draws on K–12 education, charter-school design and higher-education leadership. I design for understanding, learner agency and metacognition: examples and nonexamples, predictable confusions, mental models and opportunities to practice and recover.

The project stories show different forms of the same practice:

• Learner’s Ledger: interactive learning experiences that make difficult AI-engineering concepts visible and teachable. I direct the instructional structure, contrast cases, explanatory demonstrations and learner supports.

• Contract Window for Bob: an implemented hackathon project that preserves user intent, constrains agent actions and makes execution evidence inspectable. IBM recognized our team among the 50 top-scoring qualified submissions in its 2026 pre-conference hackathon.

• Reflexive: a developing research system and 2026 Digital Science Catalyst grant proposal for researcher-as-subject inquiry. It separates source evidence from provisional interpretation and places review and publication decisions with the researcher.

• MADE HERE / MOVES HERE: an adaptive-fashion and public-performance project in development, connecting three transforming black garments, a private musical score and Akron’s public spaces with fabrication, engineering inquiry and harm reduction.

My research direction is epistemic justice: helping people interpret and communicate their experience while retaining authority over it. My working loop is identify a problem → investigate → communicate the findings → build and test a response.

Come see how I think. Then see what I’m building.

I’m interested in instructional design, AI-enabled learning, AI evaluation and governance, and creative technology roles where this combination can contribute to real work.