DIAN YU

Emerging technologies, from possibility to adoption

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

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.

Resume (PDF)

Explore my research, teaching and industry work below.

Applied Research & Industry Studies

I study how emerging technologies move from technical possibility to real-world adoption: how firms, workers, and institutions actually respond to drones, robots, and AI. I pair fieldwork and interviews with multi-year data, so my insights hold up on the ground and at scale. More >

Teaching & Workshops

I design and teach courses on emerging technologies, design thinking, innovation, and entrepreneurship. My classes combine technical fundamentals with business and policy perspectives, and push students to connect technology with real-world impact. More >

Strategy & Industry Collaboration

I work with organizations to turn emerging technology into strategy, from advising drone startups to supporting university commercialization. I also convene the industry around these technologies, most recently a 100-person robotics-in-construction event. More >

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