Accepting PhD Students

PhD projects

I can offer projects in the area of biophysics/statistical physics. In particular, I am interested in exploring links between the physics of bacteria and biological evolution, and genetic heterogeneity in tumours. These projects can be either theoretical, experimental, or both. Theoretical projects will combine statistical-physics modelling of genetically diverse cellular populations, cell-cell and cell-environment interactions, and will involve molecular-dynamics simulations on multiple scales: from biomolecules to individual bacterial cells to macroscopic populations of cells. Experimental research will focus on how physical properties of bacteria and their environment affect fixation probabilities of drug-resistant mutants. All projects will involve collaborations with world-leading researchers from Edinburgh, Europe, and USA.

Personal profile

Research Interests

I am a research fellow supported by the Royal Society of Edinburgh. My research spans several areas of statistical physics and biological physics: evolution of drug resistance in bacteria, migration (dispersal) in microbial populations and its effect on genetic heterogeneity of microbes, evolution of metabolic pathways, physics of growing bacterial colonies, fitness landscapes and the speed of biological evolution, spatial models of cancer, driven diffusive systems (zero-range process, TASEP, and related models). In the past I used to work on random matrix theory, random graphs and complex networks, and random walks.

In my research I use computer simulations and mathematical calculations. I also perform laboratory experiments with bacteria.

You can read more about my research on my personal webpage.

Teaching

I regularly give informal lectures to the Theory Club in Edinburgh, which mainly comprises postgraduate students and postdocs. I supervise MPhys projects and PhD students. I am an adviser for "Data Acquisition and Handling" at Junior Honours level. I also run a postgraduate SUPA course "Physics of biological evolution". I used to be an adviser on the course "Research Methods" (JH).

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