I work at the point where emerging technical capability becomes operational reality. Research, enterprise systems, open source, teaching, and now AI — the recurring pattern is the same: identify, build, help adapt.
Teaching
Teaching courses in data science, data and software engineering, with substantial GenAI integration, at Boston University.
Working on
Exploring where institutional capacity meets agentic systems.
Operating the AI-Native Stack
Essays & Writing
My Calendly trial lapsed and the booking link on my site started 404ing on visitors. I was on Cal.com 30 minutes later. The interesting part isn't that the AI wrote code, it's what it did to the switching cost I'd stopped questioning.
Treating AI cost as a money problem misses where it actually bites: a deadline, an exhausted usage allowance, all your eggs in one provider's basket. That's not a spending problem, it's a routing problem.
Every AI session starts from zero. People treat that as a prompting problem and get good at re-explaining themselves. It's a state problem, and the fix is completely different.
Three of many
A four-level taxonomy for describing how AI was involved in a piece of work — built for journalism, academia, and professional practice, and positioned as an open standard.
Methodology and program design at the intersection of journalism, computation, and institutional practice — including TRACE, open tools, and curricular experimentation.
Systematic protocols for integrating generative AI across data science coursework — balancing productivity with educational integrity and professional responsibility.
Semantic Trails
Trails are author-curated paths through the body of work — linking essays, older projects, and material that wouldn't surface in a feed. Start anywhere and follow the connections.
A trail on ambient presence, consulting infrastructure, and the things remote work tooling keeps getting wrong — and what that reveals about what presence actually requires.
2 stops