Moving fronts of cells are essential features of embryonic development, wound repair and cancer metastasis. We have used canonical in vitro experiments in tandem with individual- and population-level models to understand the dynamics of cell populations as they grow and spread.

• M. J. Simpson, K. K. Treloar, B. J. Binder, P. Haridas, K. J. Manton, D. I. Leavesley, D. L. S. McElwain and R. E. Baker (2013). Quantifying the roles of cell motility and cell proliferation in a circular barrier assay. J. Roy. Soc. Interface. 10(82):20130007. DOI
• M. J. Simpson, B. J. Binder, P. Haridas, K. K. Treloar, D. L. S. McElwain and R. E. Baker (2013). Experimental and modelling investigation of monolayer development with clustering. Bull. Math. Biol. 75(5):871–889. DOI
• K. K. Treloar, M. J. Simpson, P. Haridas, K. J. Manton, D. I. Leavesley, D. L. S. McElwain and R. E. Baker (2013). Multiple types of data are required to identify the mechanisms influencing the spatial expansion of melanoma cell colonies. BMC Sys. Biol. 7:137 DOI
• K. K. Treloar, M. J. Simpson, D. L. S. McElwain and R. E. Baker (2014). Are in vitro estimates of cell diffusivity and cell proliferation rate sensitive to assay geometry? J. Theor. Biol. 356:71-84. DOI
• K. K. Treloar, M. J. Simpson, B. J. Binder, D. L. S. McElwain and R. E. Baker (2014). Assessing the role of spatial correlations during collective cell spreading. Sci. Rep. 4:5713 DOI
• R. J. H. Ross, R. E. Baker, A. Parker, M. J. Ford, R. L. Mort and C. A. Yates (2017). Using approximate Bayesian computation to quantify cell–cell adhesion parameters in a cell migratory process. npj Sys. Biol. Appl. 3:9. DOI bioRxiv
• A. Parker, M. J. Simpson and R. E. Baker (2017). The impact of experimental design choices on parameter inference for models of growing cell colonies. bioRxiv