ERC Consolidator Grant · 2022
Hidden states and currents in biological systems
The ability to infer information about hidden degrees of freedom from time series would revolutionize experiments on single molecules, mesoscale assemblies, and tissues, as well as financial and climate systems. Hidden dynamics are often essential, as they reflect the approaching of a critical transition or describe its mechanism, e.g. the folding of a protein or RNA, or an abrupt shift in climate. With the project proposed here I plan to push our quantitative understanding of experiments, ranging from single-molecule spectroscopy to observations of migrating cells and developing tissues, to a new level, by exploiting how the properties of a high-dimensional landscape and current imprint onto…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.