
Engy Ziedan, Ph.D. is the Co-Founder and Chief Scientific Officer at Protege, the trusted source for AI-ready, real-world data needed for every stage of the AI model lifecycle. Ziedan is an applied microeconomist and Assistant Professor at Indiana University, and her work focuses on evaluations of AI using quasi-experimental and causal inference methods. She holds both a Ph.D. and M.A. in Economics from the University of Illinois Chicago, where she specialized in health economics.