I am interested in developing (non-Euclidean) geometric statistical methods for the analysis of data sets of phylogenetic trees. This methodology has a natural extension to graph-valued data, with an increasing number of problems in transport networks, genes, and neurology. I am also working with colleagues at Newcastle University to find early indicators of Parkinson's disease by analysis muscle activation patterns.

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• Foundations of the Wald Space for Phylogenetic Trees, Lueg, J., Garba, M., Nye, T., Huckemann, S. 12 Sep 2022
• Information geometry for phylogenetic trees, Garba, M., Nye, T., Lueg, J., Huckemann, S. Feb 2021, In: Journal of Mathematical Biology
• Probabilistic Distances Between Trees, Garba, M., Nye, T., Boys, R. 1 Mar 2018, In: Systematic Biology

• Statistics PhD October 22 2019
• Mathematics MRes July 16 2014
• Mathematics MSc March 26 2014
• Mathematics BSc January 28 2009