Research Summary

Our group leverages theory, multi-scale computation, and AI to tackle a broad range of biophysical problems. By everaging multidisciplinary computational tools to study diverse biophysical phenomena equips students with critical computational, analytical, and organizational skills—highly valued both in academia and beyond. Our current efforts focus on three fronts:
I Developing AI and physics driven techniques to predict allosteric couplings in single molecules and assemblies;
II Using multi-scale computational models to uncovering sequence-encoded dynamics in biomolecular condensates; and
III Developing mesoscopic and systems biology models to gain deeper insight into transcriptional and epigenetic regulatory mechanisms of chromatin.