Eric Tatara Ph.D., P.E.
Software Engineer
Global Security Sciences Division
Argonne National Laboratory
Dr. Tatara has over 15 years of experience in science and engineering model development and analysis across a diverse selection of fields including tissue, bioengineering, and bioprocess modeling, disease modeling, complex systems modeling and analysis, energy systems, socio-technical systems, operations research, nonlinear dynamical systems modeling, and logistics. With over ten years of experience in software development for scientific applications, he has focused on translating core science and engineering models and analytical techniques to practical computational components and solutions.
Research:
Biosystems modeling and analysis - Development of multiscale theoretical models of biological systems across various domains ranging from models of human tissue to industrial scale bioprocesses. These models have advanced the state of the art in biosystems modeling by providing a foundation with which to simulate entire mammalian organs at the cellular level, allowing researchers to explore tissue biology as an ensemble of discrete interacting individual cells, rather than as a simple lumped parameter or continuous domain system.
Agent-based modeling (ABM) and simulation software - Member of the Repast ABM software development team for the past ten years. Repast is the leading open source software platform for ABM and is widely used in academia and the private sector across a wide range of domains. The unparalleled success of Repast in modeling complex systems is due to the contribution of multiple developers with expertise in simulation, which frees the modeler to focus on the domain of interest, rather than coding.
Socio-technical systems modeling - Contributed technical expertise and software development to a diverse set of modeling domains that couple human social interaction with complex physical system models. The purpose of these activities was to investigate the relation between typically well-understood physical models, such as environment, economics, and infrastructure, with social science-based approaches to understanding human behavior.
Intelligent engineering analytics - Conducted fundamental research in the area of artificial intelligence (AI) and advanced analytical techniques as applied to engineering domains. The focus of this research is the understanding of how to best combine rigorous engineer analysis methodologies with computer science approaches to analysis and problem solving.
Education:
PhD (2005), MS (1999), BS (1997), Chemical Engineering, Illinois Institute of Technology, Chicago, IL
Research Interests:
Agent-based modeling
Geographical information systems (GIS)
Network science
Biosystems modeling and analysis