Quantitative model inference for living matter

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• Jörn Dunkel (MIT)
• Tuesday 26 March 2024, 13:00-14:00
• Center for Mathematical Sciences, Lecture room MR4.

If you have a question about this talk, please contact Michael te Vrugt.

Recent advances in live-imaging techniques provide unprecedented dynamical data ranging from the cellular to the organism scale. Notwithstanding such experimental progress, quantitative theoretical models remain lacking, even for moderately complex classes of systems. Here, I will summarize our ongoing efforts to implement computational frameworks for inferring predictive ordinary differential equations (ODEs), stochastic differential equations (SDEs), and partial differential equations (PDEs) from multi-scale imaging data for biological systems. As specific examples, we will consider models for cell growth and division, neural dynamics, mosquito flight behavior, and collective animal swarming.

This talk is part of the DAMTP Statistical Physics and Soft Matter Seminar series.

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• All CMS events
• Center for Mathematical Sciences, Lecture room MR4
• DAMTP Statistical Physics and Soft Matter Seminar
• Soft Matter
• bld31

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