Charles (Chuck) Eesley

Professor of Management Science and Engineering

Chuck Eesley is a Professor and W. M. Keck Foundation Faculty Scholar in the Department of Management Science and Engineering at Stanford University, where he studies and designs systems that enable high-quality entrepreneurship and innovation under uncertainty — including in emerging technologies, fragile institutional environments, and sustainability transitions. He is Faculty Co-Director of the Stanford Technology Ventures Program and a faculty affiliate at the Stanford Center for AI Safety.

His research focuses on how artificial intelligence, institutional design, education systems, and policy environments shape not just the quantity of entrepreneurship, but whether new ventures lead to durable economic and social outcomes. Recent work examines how AI-driven platforms influence opportunity access, entrepreneurial performance, and information integrity, as well as how organizations and governments can design innovation systems that perform under institutional constraint.

Eesley collaborates extensively with engineers, policymakers, development organizations, and practitioners to translate research into scalable programs, investment models, and policy frameworks. His fieldwork spans Sub-Saharan Africa, East Asia, Latin America, and the United States, including ongoing work on refugee entrepreneurship and frontier-market innovation systems.

His work has received awards from the Kauffman Foundation, the Schulze Foundation, and the Technical University of Munich and has been published in Nature, Strategic Management Journal, Organization Science, and other leading outlets. He serves on the Steering Committee of the Stanford King Center on Global Development and advisory boards spanning innovation policy, entrepreneurship, and global development.

A former entrepreneur and investor, Eesley advises startups, investors, governments, and development institutions on innovation strategy, organizational design, and scaling under uncertainty. He earned his PhD from MIT Sloan and a BS in neuroscience from Duke University.