MIDAS Webinar: Interagency Modeling and Analysis Group (IMAG) Working Group on Multiscale Modeling and Viral Pandemics

July 30, 2021


July 30, 2021


The MIDAS Webinar Series features research by MIDAS members, and is open to the public. 

Date/time: Friday July 30, 12:00 – 1:00pm, EDT

Topic:  Interagency Modeling and Analysis Group (IMAG) Working Group on Multiscale Modeling and Viral Pandemics


  • James A. Glazier, Indiana University
  • Reinhard Laubenbacher, University of Florida


The COVID-19 crisis has demonstrated the need for improved and coordinated approaches to developing models of the many complex aspects of in-host responses to pathogens, ranging from transport and barrier function control of infection, to viral replication and immune response in tissues, to personalized models of individual responses to therapies. While programs like MIDAS have long sought to coordinate modeling and data collection efforts for epidemiological modeling, in-host modeling efforts have been fragmented and lacked a venue for exchanging ideas, organizing collaborations, prioritizing research areas and identifying data sources. The IMAG Working Group on Multiscale Modeling and Viral Pandemics was founded in Fall 2020 to try to provide a forum for these discussions, create a sense of community among in-host modelers and to create a series of white-papers and opinion pieces which would identify key opportunities and needs. The other aim of the WG is to coordinate with communities developing data sets and modeling approaches at other scales (like MIDAS) to help build collaborations and explore the most productive opportunities for cross-scale integration.

Speaker Bios:
James A. Glazier, Ph.D, is Professor of Intelligent Systems Engineering, Adjunct Professor of Physics and Director of the Biocomplexity Institute at Indiana University Bloomington. He leads the development and dissemination of the open-source CompuCell3D for multi-cellular agent-based modeling ( He also develops tissue-scale models of specific developmental, toxicology and disease phenomena. His recent work has focused on extending these methods to simplify the conceptualization and design of biomedical digital twins and on the integration of AI approaches with mechanistic modeling. He is active in the development of transdisciplinary collaborations and consortia to address complex biomedical problems. He is founding co-Lead of the IMAG WG on Multiscale Modeling and Viral Pandemics

Reinhard Laubenbacher, Ph.D., is the Dean’s Professor of Systems Medicine in the Department of Medicine and Director of the Laboratory for Systems Medicine at the University of Florida. He is also Adjunct Professor in the Department of Mathematics at the University of Florida. His research program focuses on multi-scale predictive modeling of disease processes, both mechanistic and data-driven. Specific emphasis is on the development of medical digital twin technology for lung immunity. He is co-founder and co-lead of the IMAG WG on Multiscale Modeling and Viral Pandemics



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