The short version, written by a person.

I'm an Associate Professor at Northern Arizona University, where my work sits at the intersection of higher education, organizational theory leadership, and the technology that's quietly complicating and accelerating things. The short framing: I'm a practitioner-scholar who thinks human-centered organizations are the only ones that can effectively implement opportunity technologies. 

Most of what I do right now revolves around AI in higher education, specifically how institutions go about adopting generative tools without losing the parts of academic life that make them worth keeping. That includes a multi-phase governance study with some varying sample sizes and a few census studies too. I have a book in progress (proposal and sample chapter under review) that connects AI use frameworks and instructional design.  I am also preparing essays on the future of AI-supported faculty work, partially reflective of a working system called Aegis / MAPS that started as a personal tool and became a small piece of evidence about how this work can actually be done.

My road to faculty is typical for someone who teaches the study of higher education, but atypical for most academics. I came up through student affairs (Residence Life/Housing, Graduate Student Life, First-Year Success Seminar instruction) before moving into faculty work, and that grounding still shapes how I think about research. The gap between the ideas in a journal article and what it takes to implement those ideas on a Tuesday in a real office is something I've spent enough time inside that I can't write as if it doesn't exist.

The teaching half of the job covers leadership, organizational behavior, and (increasingly) the practical question of what it means to do academic work alongside tools that can write a passable paragraph. I take that question seriously, including the parts of it that are genuinely uncomfortable. If you're working on something adjacent and want to compare notes, say hello.