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Research

Our work spans method development and application. Each direction below is an active project with students and collaborators attached.

Biomolecular condensates

Sequence-resolved simulation of how proteins demix into membraneless compartments, and what tips a liquid droplet towards a solid.

Coarse-grained model development

Deriving coarse-grained interactions bottom-up from atomistic reference data, and mapping the conditions under which they stop being predictive.

Machine learning for molecular models

Learning representations that carry physics rather than hide it, and using learning to find out which parts of a classical force field are actually wrong.