Vikram Pathania
I am an economist working at the intersection of market design, causal inference, and technology policy, applying evidence to uderstand and improve the performance of digital platforms and organizations. My work spans large-scale experiments, incentive design, and AI-enabled decision systems.
I trained in engineering, management, and economics (IIT, IIM, UC Berkeley) and taught at the London School of Economics and the University of Sussex before moving into big tech. My career spans academia, consulting, finance, multilateral organizations, and high-scale product and policy teams in technology—giving me a diverse perspective on how markets, institutions, and incentives operate across sectors.
My research has informed policy-relevant debates in health, consumer behavior, and finance, and has been widely covered in major media outlets including the BBC, CNN, New York Times, NPR, WSJ, and others. My current interests include the economics of AI agents, labor market effects of AI, and how evidence and incentives interact in large organizations.