I am a Lecturer in Statistics in the Department of Mathematics, Physics and Electrical Engineering. I joined the Department in May 2023; prior to that I was Lecturer at Newcastle University. My PhD was in .
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.
- Information Metrics for Phylogenetic Trees via Distributions of Discrete and Continuous Characters, Garba, M., Nye, T., Lueg, J., Huckemann, S. 10 Jul 2021, Geometric Science of Information, Cham, Switzerland, Springer
- Wald Space for Phylogenetic Trees, Lueg, J., Garba, M., Nye, T., Huckemann, S. 10 Jul 2021, Geometric Science of Information, Cham, Switzerland, Springer
- 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
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