The Computational Evolution group develops mathematical, statistical and computational approaches for understanding evolutionary processes based on genetic data.
We incorporate epidemiological models into phylogenetic inference in order to quantify pathogen dynamics directly from genetic sequencing data.
We use phylodynamics to look into the past using both sequencing data from extant species and fossil data from extinct species.
Adrian successfully defended his thesis entitled "Statistical methods for real-time infectious disease surveillance: Monitoring transmission using clinical, behavioural, and environmental data" on January 21th.
Q4 (Fall) Newsletter
A new review article to which Sophie Seidel and Tanja Stadler contributed has been published in Nature Reviews Genetics!
Tanja's keynote lecture at Virus Genomics Evolution and Bioinformatics 2024 in Hinxton, UK, is now available on Youtube!
Q3 (Summer) Newsletter
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