I am a technologist, a builder, and a teacher. Most days that means researching emerging questions from the frontier of AI in education, building new programs, and helping students develop the knowledge, reasoning and judgment they need to operate in a world AI is changing faster than any of us expected.

I have been around AI a long time. In the early 1980s I was a knowledge engineer on XCON at Digital Equipment, the first commercially successful expert system, and I have remained involved ever since. I have helped build startups and corporate new ventures as an entrepreneur, consultant, and venture partner. What I took from it is quiet: tools change quickly, people and organizations change slowly, and the slow part is the part that matters.

The question I keep returning to is one many of us in higher education now share: what happens to learning when AI is in the room, and how do we honestly know? Not whether students can use the tools, but whether they are learning to reason, to understand tradeoffs, to apply judgment in decisions, and to be accountable for outcomes.

With colleagues across BU, I lead research on ways to measure ethical decision-making and cognitive skill development in AI-powered coaching and role-playing simulations. With the Aram V. Chobanian & Edward Avedisian School of Medicine, I am researching AI-based approaches to strengthening diagnostic clinical reasoning in internal medicine.

As a research fellow at the Mehrotra Institute for Business, Markets, and Society, I also lead Issue360, an AI-powered learning platform that helps students, industry leaders, regulators, and the broader public explore the role business and markets do, can, and should play in creating lasting prosperity, advancing societal goals, and solving global challenges.

At Questrom, I develop and lead modules in the online MS in AI in Business and the Online MBA.