Robert Noble

Dr. Robert Noble is a Senior Lecturer in Mathematics at City St George's, University of London, specializing in the evolution and ecology of cancer. His research integrates mathematical modeling with computational biology to address four key themes: systematic understanding of somatic evolution, patient-specific tumor forecasting, treatment strategies leveraging evolutionary dynamics, and disentangling ecological contributions to cancer risk.

• Education: DPhil in Zoology (University of Oxford, 2014)
• Previous Appointments: Postdoctoral roles at ETH Zurich (2017-2020) and University of Zurich (2018-2020)

His methodological toolkit spans agent-based models, stochastic processes, and Bayesian data analysis, with software contributions like the ggmuller and demon packages. Recent work focuses on universal tree balance indices for biological data comparison and adaptive therapy frameworks for clinical translation.

Collaborations with experimental biologists and clinicians inform his research, which has produced key insights into spatial tumor evolution, drug resistance dynamics, and clonal diversity-survival relationships. He maintains active peer-review roles for journals like PLOS Computational Biology and Nature Ecology & Evolution.