Jonathan Ozik Ph.D.
Section Manager
Global Security Sciences Division
Argonne National Laboratory
Jonathan Ozik, Ph.D., is a computational scientist and Agent-based Modeling Section Manager within the Global Security Sciences Division of Argonne National Laboratory, Senior Fellow in the Computation Institute at the University of Chicago, and Lecturer at the Harris School of Public Policy, University of Chicago. His research focus is on the application of agent-based computational modeling techniques and the development of large scale distributed computational methods to advance the modeling of complex social systems. Dr. Ozik has developed agent-based modeling software, including the ReLogo framework and the statecharts framework, both part of the widely used, free and open source Repast Simphony agent-based modeling toolkit.
Education:
Ph.D. Physics, Chaos and Nonlinear Dynamics Group, University of Maryland, College Park, MD, 2005.
M.S. Computer Science, University of Chicago, 2011.
M.S. Physics, University of Maryland, 2002.
B.A. Physics and Mathematics, Tufts University, 1997
Research Interests:
Agent-based Simulation
Large-scale Simulation Analytics
High Performance Computing
Unstructured Data Mining