Here our strategy is to apply a well developed set of tools to new contexts.
In granular materials geometrical frustration is mapped onto pseudo-thermal fluctuations leading to new insights and scaling laws.
In molecular biology we have brought together statistical mechanics, computational statistics and massively parallel single-cell expression assay data to shed light on how DNA sequences known to act in the regulation of gene transcription (CRMs)interact to control the expression of a key mammalian gene (MyoD1).
In Social Dynamics we are exploring the relevance of statistical mechanics models of consensus formation – particularly the Axelrod Model – to social phenomena.
- granular materials
- dynamics of opinions and markets
- molecular biology