Nikhil George
I study human capital and human decision-making — how skills form and shift, how experts decide under pressure, and how organizations can act on what their data already tells them.My research develops measurement frameworks from unstructured data and machine learning. The goal is consistent: to make visible something previously hard to see — whether that is how technology reshapes the structure of occupational skills, how AI adoption changes what firms need from workers, or when expert decision routines break down.
I work at three levels. Some questions concern broad macro patterns — how technological shocks propagate through labor markets, and who adapts and who doesn't. Some address nuanced behavioral phenomena — the conditions under which expert judgment departs from what experience actually supports. And some focus on actionable insight — frameworks that let organizations use the data they already have to make better decisions about talent.
The contexts vary: labor markets, firms, competitive sports, financial services. A new direction I am developing asks how differences in the way people work shape their complementarity with generative AI tools — who benefits most, and why.
I teach at the intersection of technology and economics — how data, machine learning, and AI are applied in business and economic contexts.
PhD in Information Systems, Carnegie Mellon University. Visiting Assistant Professor, Plaksha University.