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SUMMARY:From trajectories to models: data-driven approaches to decipher th
 e dynamics of living systems - Pierre Ronceray (Aix Marseille Université)
DTSTART:20230703T113000Z
DTEND:20230703T120000Z
UID:TALK201085@talks.cam.ac.uk
DESCRIPTION:Stochastic differential equations are often used to model the 
 dynamics of living systems\, from Brownian motion at the molecular scale t
 o the dynamics of cells and animals. How does one learn such models from e
 xperimental data? This task faces multiple challenges\, from information-t
 heoretical limitations - data is scarce\, noisy and incomplete - to practi
 cal considerations. I will present a recent and ongoing effort to develop 
 new methods to reconstruct such stochastic dynamical models from experimen
 tal data\, with a focus on robustness and data efficiency. Early applicati
 ons of these methods include quantifying the dynamics and interactions of 
 confined migrating cells. These methods provide a means to quantify comple
 x behavior and unfold the underlying mechanisms of an apparently erratic t
 rajectory.
LOCATION:Seminar Room 1\, Newton Institute
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