Professor Mark Beaumont
BSc(Manc.), PhD(Nott.)
Current positions
Professor of Statistics
School of Biological Sciences
Contact
Press and media
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Projects and supervisions
Research projects
8076 EPSRC EP/R018561 New Approaches to Data Science
Principal Investigator
Managing organisational unit
School of Biological SciencesDates
01/04/2018 to 31/03/2023
The statistical evaluation of agent-based models of animal populations
Principal Investigator
Managing organisational unit
School of MathematicsDates
31/05/2013 to 30/03/2017
RAPIER: from RADseq to population genetics and evolutionary modelling
Principal Investigator
Managing organisational unit
School of MathematicsDates
01/09/2012 to 01/09/2013
Thesis supervisions
The Population Genetics and Heritability of Measures of Immune Function in Wild House Mice, Mus musculus domesticus
Supervisors
Bayesian methods for inferring selection and demographic from historical and contemporary DNA sequences
Supervisors
Sequential Methods in Approximate Bayesian Computation
Supervisors
Approximate Manifold Sampling
Supervisors
Diversity and Speciation of Invertebrates in Freshwater Habitats
Supervisors
Hybridisation and introgression in the Scottish wildcat
Supervisors
Phylogenetic and population genetic structure of riverine Astatotilapia cichlid fishes of East Africa.
Supervisors
The Distribution of Genetic Diversity Within and Among the Strongyloides ratti Genome
Supervisors
A Particle Markov Chain Monte Carlo Approach to Coalescent Inference
Supervisors
Simulation-Based Inference with Modern Generative Modelling
Supervisors
Publications
Recent publications
18/04/2024How admixed captive breeding populations could be rescued using local ancestry information
Molecular Ecology
Genomics and conservation
Molecular Ecology Resources
To unscramble an egg: admixed captive breeding populations can be rescued using local ancestry information
Estimating temporally variable selection intensity from ancient DNA data
Molecular Biology and Evolution
Estimating temporally variable selection intensity from ancient DNA data with the flexibility of modelling linkage and epistasis
Molecular Ecology Resources