Drug resistance is a very important problem in the treatment of bacterial or viral (such as HIV) infections, and in cancer. I am interested (both theoretically and experimentally) in how spatial heterogeneities in drug distribution affect the rate of evolution of drug resistance.
I am also interested in simple models (experimental and theoretical) of bacterial infections. For example, we have used the PEE Machine as an experimental model of a urinary tract infection.
I investigate the role of migration in the evolution of genetic diversity in microbes. I am particularly interested in how evolution is affected when microbes can migrate between environments with different conditions (different nutrients, temperature etc.).
Metabolic pathways are networks of chemical reactions used by cells to convert food into energy and other chemicals used as “building blocks”. I and Rosalind Allen are interested in how these networks evolved and how their evolution was constrained by physics and chemistry.
We use computer simulations and experiments to study the growth of bacterial colonies, fixation probabilities of beneficial mutations, and gene transfer (conjugation) between adjacent bacteria. My collaborators include D. Marenduzzo, O. Hallatschek R. Allen, P. Cicuta, and W. C. K Poon.
We model growth and treatment of metastatic lesions and primary tumours. We are in particularly interested how genetic heterogeneity of tumours is affected by replication, death, and migration of cancer cells. We collaborate on this with cancer biologists and medical researchers.
We investigate how bacteria swim in a complicated network of connected microcompartments.
Other areas of interest
– relation between biological evolution, random matrix theory, and localization of eigenvectors of certain random matrices (a paper about it is here)
– gene expression