Machine learning for phylogenomics

In this broadly defined project, we develop new machine-learning methods to infer or use phylogenies. The goal is to see if machine learning methods can beat existing methods in specific tasks such as phylogenetic placement or outlier detection. The focus is on finding innovative ways to update machine learning methods or adopt them to phylogenetics. We also work on incorporating phylogenies as prior data into machine learning methods for answering other questions (e.g., metagenomic classification).