Prof James Osborne
ARC Future Fellow
School of Mathematics and Statistics
79 Scholarly works
8 Projects
HIGHLIGHTS
2025
Journal article
Spatially structured models of viral dynamics: a scoping review
DOI: 10.1128/mmbr.00283-242025
Journal article
Quantifying biological heterogeneity in nano-engineered particle-cell interaction experiments
DOI: 10.1098/rsif.2025.02062025
Journal article
Accounting for the geometry of the respiratory tract in viral infections
DOI: 10.1016/j.epidem.2025.1008292025
Journal article
Competing mechanisms for the buckling of an epithelial monolayer identified using multicellular simulation
DOI: 10.1016/j.mbs.2024.1093672024
Research grants (other domestic)
CellMechBio: The Influence of Cellular Mechanobiology on Organ Development
2024
Research grants (ARC, NHMRC, MRFF)
Mathematical Models to Connect Experiments Across Biological Scales
2023
Research grants (ARC, NHMRC, MRFF)
CellMechBio: The Influence of Cellular Mechanobiology on Organ Development
RECENT SCHOLARLY WORKS
2024
Journal article
An adaptive numerical method for multi-cellular simulations of tissue development and maintenance
DOI: 10.1016/j.jtbi.2024.1119222024
Journal article
Spatial information allows inference of the prevalence of direct cell–to–cell viral infection
DOI: 10.1371/journal.pcbi.10122642024
Journal article
Tracking the neurodevelopmental trajectory of beta band oscillations with optically pumped magnetometer-based magnetoencephalography
DOI: 10.7554/eLife.945612024
Journal article
Advancements in multicellular simulations
DOI: 10.1038/s43588-024-00624-52023
Journal article
Free and Interfacial Boundaries in Individual-Based Models of Multicellular Biological systems
DOI: 10.1007/s11538-023-01214-82023
Journal article
Choice of spatial discretisation influences the progression of viral infection within multicellular tissues
DOI: 10.1016/j.jtbi.2023.111592
RECENT PROJECTS
2026
Research grants (ARC, NHMRC, MRFF)
Bridging Biological Boundaries: Modelling to Explore the Role of Interfaces
Internal Research Grant
Multicellular Mathematical Modelling of Organ Development