David Easley

David Easley is the Henry Scarborough Professor of Social Science and Professor of Information Science at Cornell University, affiliated with the Department of Economics and the Department of Information Science. His research spans economics, finance, and network science, focusing on market microstructure, asset pricing, and the interplay between networks and economic behavior.

• Developed the VPIN metric for detecting flow toxicity in financial markets
• Co-authored the influential textbook "Networks, Crowds and Markets: Reasoning About a Highly Connected World"
• Collaborates extensively with computer scientists on network formation and trading dynamics

His work combines economic theory with computational approaches to analyze market behavior and network structures. The research covers both theoretical foundations and practical applications in financial systems.

Scientific awards include the William F. Sharpe Award for Scholarship in Financial Research (2017).

He has co-developed innovative AI-centered courses at Cornell and contributes to the emerging field of computational social science that integrates economics, sociology, computing, and mathematics.