Cooper M. Stansbury

The paper develops an agent-based model of fibroblast scratch assays to simulate wound healing, achieving high accuracy in predicting cell behavior across different geometries.

The paper develops a single-cell transcriptomic reference atlas and evaluates a transcription factor recipe for reprogramming fibroblasts into hematopoietic stem cells, revealing intermediate transcriptomic states and transcriptional remodeling.

This paper introduces ARCH3D, a foundation model for global genome architecture that captures spatial structure and interchromosomal interactions using a novel masked locus modeling task.

This paper introduces an automated wound healing assay using robotics and 3D bioprinting to improve reproducibility and throughput in in vitro studies.

The paper maps multi-way chromatin contacts using long reads and identifies cell type-specific transcription clusters by integrating contacts with chromatin accessibility and gene expression.

The paper investigates allele-specific relationships between gene expression and genome structure in human cells using integrated haplotype-resolved data.

This study compares prediction models for 30-day hospital readmissions, finding that artificial neural networks with medical code embeddings improve accuracy compared to logistic regression.