A. R. Anderson

This study tunes microstructure and bioactivity of MAP scaffolds to guide cell patterning and promote vessel formation in vitro and enhance neovascularization in vivo.

Gattaca generates base-pair resolution artificial genomes to track somatic mutations in agent-based models, enabling in-silico studies comparable to human somatic evolution.

The paper describes a high school internship program in mathematical oncology, detailing its structure, curriculum, and outcomes over five years.

The paper investigates how harsh microenvironments in early breast cancer select for a Warburg phenotype through metabolic and transcriptomic changes.

This paper develops a tunable MAP scaffold using click chemistry to adjust hydrogel rigidity and demonstrates its biocompatibility in an ischemic stroke model.

This paper introduces three novel concepts to aid in designing multi-drug adaptive therapies for cancer by analyzing tumor evolution dynamics and treatment strategies.

This study shows that tissue structure influences tumor evolution by accelerating neutral expansion through spatial constraints and dispersal events.

This study uses immunohistochemistry data to model how macrophages influence tumor evolution through spatial dynamics and immune escape strategies in ductal carcinomas.

This study uses computational modeling to infer tumour proliferative hierarchy by analyzing phylogenetic tree measures under cancer stem cell and neutral evolution assumptions.