Shayn M. Peirce

This paper develops a multiscale computational model to study how Thy-1 expression in fibroblast subpopulations influences fibrotic foci formation in IPF.

This paper introduces a high-throughput co-culture system to study endothelial cell and pericyte interactions and validates its use in assessing disease-relevant stimuli and therapeutics.

This study isolates and characterizes HMEC-1 extracellular vesicles, showing they enhance wound closure and have dual inflammatory effects on endothelial cells.

This paper identifies an optimal thermal dose for focused ultrasound ablation that balances tumor destruction with immunotherapy access using multimodal PET imaging.

The paper identifies sex- and brain region-specific pericyte signaling changes in Alzheimer's Disease using single-nucleus RNA sequencing and spatial transcriptomics.

The paper develops an agent-based model to show how senescent cell behavior and tissue mechanics contribute to pulmonary fibrosis in aged mice.

This paper uses agent-based modeling to simulate IPF progression and evaluate treatment efficacy by analyzing collagen accumulation and invasion under different treatment scenarios.

The paper extends a computational model of skeletal muscle regeneration to simulate and validate injury-specific responses to CTX, FI, and EC injuries, revealing distinct cytokine and cell dynamics across injury types.

The paper uses a multiscale computational model to predict how environmental changes and drug treatments affect microvascular remodeling in idiopathic pulmonary fibrosis.

The paper develops a Cellular-Potts model to study how cohesotaxis, tissue geometry, and cell intercalation influence collective migration velocity in Xenopus mesendoderm.

The paper develops an agent-based model to simulate muscle regeneration, showing that combined cytokine parameter changes improve CSA recovery by 13%.

This paper introduces Vivarium, a software tool for building integrative multiscale models in computational biology, demonstrating its utility by combining multiple modeling frameworks.

The paper develops and validates agent-based models to predict multicell patterns driven by signaling-induced differential adhesion and uses machine learning to map parameters to patterns.

The paper develops a whole-colony model of E. coli integrating single-cell mechanisms with population-level interactions, showing that AmpC expression, not AcrAB-TolC, drives antibiotic survival.

REAVER is a tool for analyzing vascular network images, outperforming existing software in accuracy and precision across multiple metrics.