Research


I am primarily interested in sequence analysis in the context of metagenomics and phylogenetics. I develop tools that target efficient analysis of large-scale genomic datasets. Some examples are:

I also briefly worked in network analysis: see our community detection method for dynamic gene co-expression networks (MuDCoD – community detection in multi-subject dynamic networks from scRNA-seq data).

During my master’s, my focus was mostly on (applied) machine learning, in particular time series analysis in the context of computational ethology (basty – behavioral analysis of sleep in fruit flies), and natural language processing (active learning for named entity detection).