Robert Noble

This paper introduces a computational model to infer colorectal tumour growth history from DNA methylation data, finding that growth is driven by gland fission rather than cell turnover.

The paper calculates selective sweep probabilities in spatially expanding populations and finds they depend on mutant and wildtype expansion speeds and spatial dimension, with implications for tumour evolution.

This paper develops a theoretical framework to optimize cancer treatment scheduling by exploiting stochastic extinction of small tumors, showing that switching to a second treatment when the tumor is near its minimum size maximizes eradication probability.

This paper introduces a new system of tree shape indices that address limitations in existing measures, enabling robust and interpretable comparisons of tree structures across diverse domains.