I offer a wide range of expertise in studying the evolution of RNA viruses. My work begins once consensus sequence data have been generated. I can perform, troubleshoot or consult on various aspects of phylogenetic analyses: multiple sequence alignment, phylogenetic reconstruction, interpretation of data, and production of publication-ready figures. My primary tools are python and matplotlib for general data processing and data visualisation, BEAST and BEAST2 for temporal Bayesian phylogenetics, and a wide range of algorithms for multiple sequence alignment and Bayesian or maximum likelihood phylogenetics.

I received my PhD from the University of Edinburgh and have published a number of studies in high-impact journals. My data visualisation work was awarded the SciPy John Hunter Excellence in Plotting prize in 2018. You can find my CV here. My background is primarily in analysing RNA virus sequence data to understand their evolution and transmission patterns.