University of Cambridge > Talks.cam > DAMTP Statistical Physics and Soft Matter Seminar > Quantitative model inference for living matter

  Browse A-Z

Log in

Googledetails Microsoftdetails

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

Quantitative model inference for living matter

Download to your calendar using vCal

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.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

in person & via zoom FW11, William Gates Building. Zoom link: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon Hispanic Research Seminars

Other talks

"Gods, Monsters & Middle-class Uncles: Indian Comics in a Time between Worlds" Title to be confirmed title abstract tba Illegal trade in the North Atlantic Talk TBC The uplift and erosion history of the Gamburtsev Subglacial Mountains and their role in the formation of the East Antarctic Ice Sheet
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity