Presenter

Principal Computational Scientist, Argonne National Laboratory; Senior Scientist (CASE, Department of Public Health Sciences), University of Chicago; and Senior Institute Fellow (NAISE), Northwestern University. Dr. Ozik develops applications of large-scale agent-based models, including models of infectious diseases, healthcare interventions, biological systems, and other complex systems. He also applies large-scale model exploration across modeling methods, including agent-based modeling, microsimulation, and machine/deep learning. Dr. Ozik leads the Repast project for agent-based modeling toolkits and the Extreme-scale Model Exploration with Swift (EMEWS) framework for large-scale model exploration capabilities on high performance computing resources.