we are fascinated by mitochondria and their metabolism and want to understand how they are able to adapt to their cellular host environment! We study mitochondrial diversity using several computational methods, such as data integration, visual data mining, graph theory or deep learning.
we want to understand how eukaryotic cells choose their origin of replication to duplicate their genomes! We use several approaches to study this question, ranging from data modelling, deep learning to molecular dynamics simulations.
we are exited about evolution and how proteins and organisms adapt to their environment, for instance by evolving novel traits or by readjusting their metabolism! We study this phenomenon in close collaboration with experimental teams and apply methods such as classical sequence analysis and phylogenetics, single-cell based data analysis, to comparative metabolic modelling.
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