Speaker: Jörn Dunkel (MIT) 

Title: Model inference for active matter

Abstract:

Recent advances in live-imaging techniques provide dynamical data ranging from the cellular to the organism scale. Notwithstanding such experimental progress, quantitative mathematical models often remain lacking, even for moderately complex classes of biological systems. Here, I will survey our ongoing efforts to implement computational frameworks for inferring predictive dynamical equations from multi-scale imaging data. Example applications range from cell locomotion and neuromechanical control to collective swarming behaviors in animal groups.

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*Tea will be at 4:00 pm in the 553 Lake Hall