Dr Kim Kenobi

Dr Kim Kenobi


Department of Mathematics

Contact Details


I arrived in Aberystwyth in October 2014 to start working as a statistics lecturer.  Before that, I spent 11 years in Nottingham, completing a PhD in Statistical Shape Analysis in 2007 and spending 6 ½ years as a statistics postdoc on a multidisciplinary plant biology project.


My research interests are on biological applications of statistics.  This includes species distribution modelling (dolphins and Curlew), network biology and statistical shape analysis/biological geometric morphometrics.



Module Coordinator

MAM5120 Statistics: Concepts, Methods and Tools

MA37810 Stochastic Models in Finance

PGM2810 Bioinformatics Skills for Biologists

PGM0910 Statistics in Context: Collecting, Handling and Presenting Data

MAM5220 Statistical Techniques for Computational Scientists

MA35210 Topics in Biological Statistics


I currently have two PhD students working on dolphin datasets, one on an observational dataset of the dolphins in Cardigan Bay, West Wales, and the other using network theory to analyse a dataset of the dolphins off the east coast of Scotland.  Since arriving in Aberystwyth, I have co-supervised two other PhD projects, one on using ordinary differential equations to model tick-borne diseases in ecological communities and another on bacterial genetics.


I was involved in the ECHOES project between December 2019 and June 2023, which was looking at the effect of climate change on bird coastal communities on both sides of the Irish Sea.  I was lead author on a paper about the overwintering distributions of Curlew in Britain and Ireland that over the period 2003 to 2019 that made use of land use data from satellites and environmental variables to assess the habitat preferences of Curlew between November and February.


I am now starting to realign with the shape analysis I studied for my PhD, and am moving more towards research problems involving landmark-based geometric morphometrics, with a particular focus on the mammalian skeleton.

Research Groups


Kenobi, K, Read, W, Bowgen, KM, Macgregor, CJ, Taylor, RC, Cámaro García, WCA, Hodges, C, Dennis, P & Holloway, P 2023, 'Lasso penalisation identifies consistent trends over time in landscape and climate factors influencing the wintering distribution of the Eurasian Curlew (Numenius arquata)', Ecological Informatics, vol. 77, 102244. 10.1016/j.ecoinf.2023.102244
Occhibove, F, Kenobi, K, Swain, M & Risley, C 2022, 'An eco‐epidemiological modeling approach to investigate dilution effect in two different tick‐borne pathosystems', Ecological Applications, vol. 32, no. 3, e2550. 10.1002/eap.2550
Dimonaco, NJ, Aubrey, W, Kenobi, K, Clare, A & Creevey, CJ 2022, 'No one tool to rule them all: Prokaryotic gene prediction tool annotations are highly dependent on the organism of study', Bioinformatics, vol. 38, no. 5, btab827, pp. 1198-1207. 10.1093/bioinformatics/btab827
Dimonaco, N, Aubrey, W, Kenobi, K, Clare, A & Creevey, C 2022 'StORF-Reporter: Finding Genes between Genes' bioRxiv. 10.1101/2022.03.31.486628
Dimonaco, N, Aubrey, W, Kenobi, K, Clare, A & Creevey, C 2021 'No one tool to rule them all: Prokaryotic gene prediction tool performance is highly dependent on the organism of study' bioRxiv. 10.1101/2021.05.21.445150
More publications on the Research Portal