C. Drovandi

Predicting fine-scale distributions and emergent spatiotemporal patterns from temporally dynamic step selection simulations

This study shows that incorporating fine-scale temporal dynamics improves both hourly and seasonal spatial predictions of water buffalo movement and habitat use.

Computationally efficient mechanism discovery for cell invasion with uncertainty quantification

The paper introduces a computationally efficient framework using Gaussian processes to discover mechanisms of cell invasion with uncertainty quantification, applied to a scratch assay experiment.

Identifying cell-to-cell variability in internalisation using flow cytometry

The paper develops a mathematical model to quantify cell-to-cell variability in internalisation using flow cytometry data from human B-cell lymphoblastoid cells.

Estimating parameters of a stochastic cell invasion model with fluorescent cell cycle labelling using Approximate Bayesian Computation

This paper develops an ABC-based method to estimate parameters of a stochastic cell invasion model using fluorescent cell cycle labeling, showing improved parameter identifiability with trajectory data.