Philip Pearce

This paper develops a model to predict clogging in particle suspensions flowing through networks, showing how network topology and particle dynamics lead to transport failure.

ChemoTrack provides a large-scale, precise dataset of single-cell migration trajectories linked to chemotactic signals, revealing new insights into how cells respond to chemical gradients.

This study uses a microfluidic platform to link red blood cell properties to whole-blood rheology in sickle cell disease, revealing how stiff cell proportions and spatial organization drive pathological flow resistance.

This study develops a cell-based model of intermittent attachments to explain how cell aggregates exhibit fluid-like properties and collective chemotaxis.

This study shows that disrupting phage liquid crystalline droplets in Pseudomonas aeruginosa biofilms eliminates antibiotic tolerance by promoting antibiotic diffusion.

The paper shows that Dictyostelium cells form swarms that behave like active droplets, leading to clump deposition and differentiation through a 'musical chairs' mechanism.

The paper introduces a framework to infer state transition dynamics from static data, validated on protein folding, gene regulatory networks, and HIV evolution.