Learn about pattern-forming systems in biological physics through this lecture from the School on Biological Physics across Scales series, delivered by Pierre Ronceray from CINaM and the Turing Centre for Living Systems. Explore data-driven approaches to understanding biological pattern formation as Ronceray, representing CNRS and Aix-Marseille Université, shares insights on learning the dynamics of these complex systems. Part of ICTP-SAIFR's comprehensive program on biological physics, this 100-minute presentation offers valuable perspectives on the intersection of data science and biological pattern formation mechanisms.
Towards Data-Driven Biological Physics: Learning the Dynamics of Pattern-Forming Systems - Class 1
ICTP-SAIFR via YouTube
Overview
Syllabus
Pierre Ronceray: Towards data-driven biological physics: learning the dynamics of... - Class 1
Taught by
ICTP-SAIFR
Related Courses
-
Towards Data-Driven Biological Physics: Learning the Dynamics of Pattern-Forming Systems - Class 2
-
Physics of Biological Systems
-
From Trajectories to Models: Data-Driven Approaches to Decipher the Dynamics of Living Systems
-
Stochastic Pattern Formation in Space and Time: From the Brain to the Biosphere - Class 3
-
Self-Organisation and Pattern Formation in Living and Synthetic Cells - Class 1
-
The Physics of Spatial Ecology - Class 4
