Data-Driven Multiscale Modeling of Cell Fate Dynamics - Hosted by the Department of Applied Mathematics

Armour College of Engineering students are invited to join the College of Science Department of Applied Mathematics for a Research Talk featuring Dr. Qing Nie, Professor in the Department of Mathematics at the University of California-Irvine. Dr. Nie will present his lecture, Data-Driven Multiscale Modeling of Cell Fate Dynamics.

Abstract

Fates of cells are not preordained. Cells make fate decisions in response to different and dynamic environmental and pathological stimuli. Recently, there has been and explosion of experimental data at various biological scales, including gene expression and epigenetic measurements at the single cell level, lineage tracing, and live imaging. While such data provide tremendous detail on individual elements, many gaps remain in our knowledge and understanding of how cells make their dynamic data decisions in complex environments. In addition to developing new models to analyze data at each scale, we are working on multiscale modeling challenges in analyzing single-cell molecular data and their connections with spatial tissue dynamics. Our approach requires new and challenging mathematical and computational tools in network inference, stochastic analysis and simulations, and PDEs with moving boundaries. We then use our novel data-driven multiscale modeling and computational methods to uncover new principles for cell fate dynamics in development, regeneration, and disease.

Attendance

To ensure that your attendance at the event is properly recorded in your IIT Engineering Themes Portfolio, please take a "selfie" at the event as well as a photo of the speaker and email it to engineering@iit.edu including your A# and the name of the event in the email.

Earn Engineering Themes credit in HEALTH for attending.