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.
Through new phylogenetic tools we aim to reconstruct and predict within-host pathogen evolution.
We use phylodynamics to look into the past using both sequencing data from extant species and fossil data from extinct species.
We are organizing a summer school on Bayesian phylogenetic and phylodynamic analysis in BEAST2 with invited talks, lectures and tutorials by leading and renowned experts in the field.
The Phylonauts are on the run again and now sporting ETH t-shirts!
Congratulations to Nicola Müller on officially receiving his Masters dergee!
Swiss researchers reveal factors responsible for the forming of broadly neutralizing HIV antibodies.
Krzysztof Bartoszek, Sebastian Duchene and Daniele Silvestro.
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