CAREER: Prediction of multiscale emergent dynamics in decentralized cell populations

Project: Research project

Project Details

Description

This is a subaward back of Neda Bagheri's NSF CAREER award for student support (due to PI transfer).

The project will develop computational approaches to predict dynamics of cell populations. Signaling present within a cell and from cell-to-cell will be mathematically modeled to predict emergence in cellular, tissue and tumor microenvironments, with special emphasis on breast cancerous tumors. Additionally, STEM concepts will be introduced to young and diverse audiences through children?s textbooks with hands-on exercises that highlight the contribution of women and underrepresented minorities to the field.
StatusFinished
Effective start/end date9/16/192/28/21

Funding

  • University of Washington (UWSC12093//CBET-2025760)
  • National Science Foundation (UWSC12093//CBET-2025760)

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