DIAN YU

I help people and organizations make sense of emerging technologies and turn uncertainty into clearer decisions.

My work sits at the intersection of technology, organizations, and strategy, with a focus on how innovations such as drones, robotics, automation, and AI move from technical possibility to real-world adoption. I hold a PhD in Engineering and Public Policy from Carnegie Mellon University, where I examined how policy, markets, and organizational incentives shape emerging technology industries.

Across research, teaching, and advisory work, I use mixed methods to understand technology adoption, organizational change, future of work, and decision-making under uncertainty. I am especially interested in how AI and other frontier technologies reshape workflows, product strategy, labor, and governance, and how organizations decide what to adopt, where to experiment, and how to scale responsibly.

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