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Modeling Nuclear and Cellular Architecture: From Mechanics to Physical Learning
Modeling Nuclear and Cellular Architecture: From Mechanics to Physical Learning
Understanding how mechanical forces and molecular interactions shape chromatin organization and nuclear structure is key to uncovering the physical basis of genome regulation. The focus is on understanding how internal activity and external stresses impact nuclear morphology and chromatin distribution. Broader efforts aim to uncover how cells sense, respond to, and encode mechanical cues through adaptive reorganization of genome architecture, guided by emerging concepts from physical learning.
Understanding Biomolecular Phase Separation
Understanding Biomolecular Phase Separation
Explores the physical principles underlying liquid–liquid phase separation (LLPS) and the formation of biomolecular condensates in cellular environments. Emphasis is placed on understanding how molecular interactions, active processes, and spatial constraints influence condensate formation, stability, and regulation, particularly under dilute conditions relevant to intracellular organization.
Transport and Organization in Crowded and Confined Environments
Transport and Organization in Crowded and Confined Environments
Focuses on how factors such as crowding, activity, and geometry influence transport and spatial organization in soft and biological systems. Efforts aim to understand how microscopic interactions and environmental constraints give rise to complex dynamical behavior and emergent patterns across different length and time scales.
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