Ozik, Jonathan (19..-....)
Principal Computational Scientist at Argonne National Laboratory, Senior Scientist in the Consortium for Advanced Science and Engineering at the University of Chicago, and Senior Institute Fellow, Northwestern Argonne Institute of Science and Engineering (NAISE), Northwestern University.
Dr. Ozik develops applications of large-scale agent-based models, including models of infectious diseases, healthcare interventions, biological systems, water use and management, critical materials supply chains, and critical infrastructure. He also applies large-scale model exploration across modeling methods, including agent-based modeling, microsimulation and machine/deep learning. Dr. Ozik is PI of multiple U.S. National Science Foundation and National Institutes of Health projects, and leads the Repast project (repast.github.io) 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 (emews.org).
Vidéos
Integrating Simulation, Machine Learning, and High-performance Computing to Support Public Health D…
Integrating Simulation, Machine Learning, and High-performance Computing to Support Public Health Decision Making