We analyse probabilistic models for evolutionary processes and ecological interactions. Based on such explicit models we develop computational methods for statistical data analyses in population genetics and evolutionary genomics.
Within the DFG Priority Program GEvol – Genomic Basis of Evolutionary Innovations we are involved in two exciting collaboration projects in which we model and analyse the evolution of transcriptional variability and its role in adaptation and evolutionary innovation and gene regulatory mechanisms underlying the expression of social behaviour in two beetle clades. In other projects we model eco-evolutionary dynamics of hybrid zones and develop stochastic models, simulation tools and statistical methods for the analysis of methylation data. Additional projects include investigating the accumulation of deleterious mutations and inbreeding in shrinking populations, the variation in DNA methylation of natural populations to understand its sources and heritability, and linking complex phenotypic traits to their underlying genetic basis.
Postdoc
Migration genetics, avian epigentics – swallows
Please find more publications on the ORCID page of D. Metzler and the ORCID page of S. Mueller.
