Vikram Pathania

Economist · Market Design · Causal Inference & Technology Policy

I'm an economist who helps organizations make better decisions using data, experiments, and economic reasoning. As Principal Economist at Amazon, I lead high-impact projects using causal inference and randomized trials — including work on seller incentives, advertising systems, and workforce outcomes at scale.

My career spans academia, technology, finance, consulting, and global policy. I taught at the London School of Economics and the University of Sussex, and trained at IIT, IIM Ahmedabad, and UC Berkeley. My research — published in leading journals and cited 7,000+ times — has shaped policy debates in health, consumer behavior, and finance, and been covered by the BBC, CNN, New York Times, NPR, and the Wall Street Journal.

I'm now especially focused on the economics of AI: how AI agents reshape labor markets, how evidence and incentives interact in large organizations, and how economic design can improve AI-enabled systems. I'm open to senior roles, advisory work, and collaborations at the intersection of economics, technology, and policy.

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Previously / Trained at

Indian Institute of Technology (IIT) · Indian Institute of Management (IIM) · University of California, Berkeley · London School of Economics · World Health Organization · World Bank · Amazon