I am a mathematical biologist (post-doctoral research scientist) working in the Lydall lab in the Institute for Cellular and Molecular Biosciences (ICaMB) at Newcastle University.
I am particularly interested in computational and mathematical models of biological systems and the assessment and development of such models (usually dynamic, mechanistic simulation models). Currently, I am developing high-throughput, robotic, growth assays for carrying out genome-wide screens in the model organism S. cerevisiae (budding yeast). The Lydall lab uses these techniques to further understand how the telomere cap works, which may improve our understanding of replicative senescence (relevant for ageing) and cancer. Much of my previous work has involved studying replicative senescence and ageing in human cell cultures and I enjoy drawing parallels between the two model systems.
My university website contains other things I am interested in.
Mathematical modelling, numerical simulation, stocastic simulation, SBML models, systems biology, optimisation, parameter estimation, quantitative growth assays, automated microscopy, robot-assisted science.
Currently I am working on genome-wide screens in S. cerevisiae to understand the function of the telomere cap. I have developed an image analysis tool: Colonyzer and complementary Quantitative Fitness Analysis
(QFA) workflows to infer growth rates and genetic interaction strengths
from robot-assisted timelapse photography of thousands of independent
microorganism cultures growing in parallel on solid agar plates. I am also a member of the team running the High-throughput Screening service at Newcastle.
Each year I run a half day workshop introducing Python programming to biology research scientists in the medical school. The notes are available online.