Daniella Meeker

Adjunct Information Scientist; Professor, Pardee RAND Graduate School
Off Site Office


Ph.D. in computation and neural systems, California Institute of Technology; B.A. in biology, University of Chicago


Daniella Meeker is an adjunct information scientist at the RAND Corporation and a professor at the Pardee RAND Graduate School. Before joining RAND's research staff, she completed a post-doctoral fellowship at the RAND Bing Center for Health Economics. Meeker's engineering research focuses on distributed architectures supporting integration of research, data analysis, and practice. Her other work includes development of collaborative platforms for knowledge management, program evaluation, machine learning, data mining, social network analysis, and health and behavioral economics. Meeker earned her Ph.D. in computation and neural systems from the California Institute of Technology.